55 Analytics Lead jobs in Egypt

Role Purpose

As a Product Analytics Lead, you will primarily oversee the execution of various analytical models, with the objective of extracting meaningful insights from the different customer datasets, as well as continuously keeping an eye on all product OKRs.

Your expertise in product data analysis should facilitate the identification of growth opportunities, pain points, and potential improvements within the different customer journeys.

Key Accountabilities & Decision Ownership

• Pitch the reporting tag plan across different business tribes.
• Plan and manage the execution of the analytics road map based on business priorities.
• Develop measurement frameworks to track and report on different product OKRs.
• Utilize data visualization tools to create intuitive and visually appealing reports and dashboards for senior management and other stakeholders.
• Ensure data integrity and accuracy by establishing and conducting frequent data governance processes.
• Develop and implement analytical models that support analyzing large datasets.
• Conduct in-depth analysis of customer data to identify trends, patterns, and opportunities for optimization.
• Drive process improvement by identifying and implementing enhancements and automation.
• Lead the analytics squad members in various tribes, overseeing their adherence to the implementation of the analytics strategy, and verifying the quality of their deliverables.
• Stay up-to-date with industry trends and developments in reporting tools and analytical techniques.

Technical & Professional Requirements

• Bachelor's degree in Business, Marketing, Computer Science, or a related field.
• Minimum 5 years of proven experience in digital reporting or data analysis.
• Proficiency in digital analytics tools such as Google Analytics, Adobe Analytics, or similar platforms.
• Proficiency in data management tools such as MS Excel, MS Access, MS Power BI, and Tableau.
• Proficiency in SQL, and ability to process large data sets.
• Excellent attention to detail, analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Excellent communication and presentation skills, with the ability to present data to both technical and business stakeholders.
• Strong leadership and team management abilities.
• Ability to work independently and manage multiple projects simultaneously.
• Familiarity with digital platforms and practices, including traffic sources, conversion rates, bounces rates, media campaigns, COA, ARPU, etc.
• Knowledge of banking products, services, and financial metrics is a plus.

Key Performance Indictors

• Plan and oversee the execution of the product reporting tag plan and data analysis models.
• Drive accurate insight to stakeholders that helps improve OKRs.
• Provide periodic actionable quantitative and qualitative reports for the organization.
• Support the decision-making process based on efficient data analysis and understanding.

Requirements

Role Purpose

As a Product Analytics Lead, you will primarily oversee the execution of various analytical models, with the objective of extracting meaningful insights from the different customer datasets, as well as continuously keeping an eye on all product OKRs.

Your expertise in product data analysis should facilitate the identification of growth opportunities, pain points, and potential improvements within the different customer journeys.

Key Accountabilities & Decision Ownership

• Pitch the reporting tag plan across different business tribes.
• Plan and manage the execution of the analytics road map based on business priorities.
• Develop measurement frameworks to track and report on different product OKRs.
• Utilize data visualization tools to create intuitive and visually appealing reports and dashboards for senior management and other stakeholders.
• Ensure data integrity and accuracy by establishing and conducting frequent data governance processes.
• Develop and implement analytical models that support analyzing large datasets.
• Conduct in-depth analysis of customer data to identify trends, patterns, and opportunities for optimization.
• Drive process improvement by identifying and implementing enhancements and automation.
• Lead the analytics squad members in various tribes, overseeing their adherence to the implementation of the analytics strategy, and verifying the quality of their deliverables.
• Stay up-to-date with industry trends and developments in reporting tools and analytical techniques.

Technical & Professional Requirements

• Bachelor's degree in Business, Marketing, Computer Science, or a related field.
• Minimum 5 years of proven experience in digital reporting or data analysis.
• Proficiency in digital analytics tools such as Google Analytics, Adobe Analytics, or similar platforms.
• Proficiency in data management tools such as MS Excel, MS Access, MS Power BI, and Tableau.
• Proficiency in SQL, and ability to process large data sets.
• Excellent attention to detail, analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Excellent communication and presentation skills, with the ability to present data to both technical and business stakeholders.
• Strong leadership and team management abilities.
• Ability to work independently and manage multiple projects simultaneously.
• Familiarity with digital platforms and practices, including traffic sources, conversion rates, bounces rates, media campaigns, COA, ARPU, etc.
• Knowledge of banking products, services, and financial metrics is a plus.

Key Performance Indictors

• Plan and oversee the execution of the product reporting tag plan and data analysis models.
• Drive accurate insight to stakeholders that helps improve OKRs.
• Provide periodic actionable quantitative and qualitative reports for the organization.
• Support the decision-making process based on efficient data analysis and understanding.

Position Snapshot

Title: Voice of Consumer Analytics Lead

Location: Cairo, Egypt

Position Type: Full Time

Reporting To: Senior Manager, Digital Consumer Insights & Analytics

Department : Growth

What Will Your Day Look Like?

As the Voice of Consumer Analytics Lead, You'll be

• Listening to the digital buzz — analyzing consumer chatter across social media, reviews, search trends, and influencer content.
• Translating online sentiment, behaviors, and feedback into clear, actionable insights
• Building always-on dashboards and AI-powered alerts to spot reputational risks and market shifts before anyone else
• Collaborating with cross-functional teams (Brand, Innovation, R&D, Marketing) to ensure the consumer's voice shapes what we create and how we grow
• Staying on the cutting edge of tools, trends, and analytics methods in the evolving world of consumer signals

How Will You Make An Impact?

• Analyze real-time consumer conversations from social media platforms to uncover emerging trends, sentiment shifts & cultural signals not captured by traditional research.
• Monitor & interpret online reviews to identify product feedback patterns, recurring pain points, and opportunities for innovation & service improvement
• Track & analyze search behavior data to understand evolving consumer needs, intent & demand signals across categories & markets.
• Evaluate influencer & content creator impact by analyzing engagement trends, audience sentiment & brand association across digital ecosystems.
• Integrate social listening, reviews, influencer & search data into consistent insight narratives that inform marketing, innovation & corporate communication strategies.
• Provide ongoing monitoring & reporting of brand health & reputation by analyzing sentiment & risks across earned & naturally occurring consumer conversations.
• Deliver regular trend reports, audience deep-dives & competitor benchmarking using voice-of-consumer data to guide strategic planning.

Education

• Bachelor's degree in a relevant field such as Business Administration, Marketing, Communications, or Data Science & Analytics.

Experience

• 5-10 years of relevant experience.
• Hands-on Use of Social Listening & Analytics Tools
• Delivering Consumer Insight to Cross-Functional Teams
• Fluency in English & Arabic is mandatory

Technical Competencies

• Social listening & search analytics
• Influencer & content analytics
• Data interpretation & insight storytelling
• Insight integration & dashboarding

Grow with Agthia – For the Better

Agthia Group is one of the region's leading Food & Beverage companies, with a growing international footprint. We are a publicly listed company on the Abu Dhabi Securities Exchange (ADX) and part of ADQ, one of region's largest holding companies.

Rooted in Abu Dhabi since 1978, we've grown into a global presence, operating in countries including the UAE, Saudi Arabia, Kuwait, Oman, Egypt, Turkey, and Jordan. We've built a diverse portfolio of over 35 market-leading brands across Water & Food, Snacking, Protein & Frozen, and Agri-Business – touching the lives of millions of consumers in more than 65 global markets. With sustainability at the core of our innovations, we've pioneered several world-first products, setting new benchmarks in the industry and meeting the evolving needs of communities worldwide.

Over 12,000 people from more than 67 nationalities are at the heart of shaping our purpose driven future, supported by an agile environment which encourages collaboration, creativity, and the freedom to make a real difference. With a competitive benefits package, genuine opportunities to advance, and a focus on continuous learning and development, we're committed to supporting your growth as we work together to deliver excellence "For the Better."

We are looking for a goal-oriented and technically brilliant Data Analyst to join our GTM Operations team. You will be the key link between our complex data systems and our Go-To-Market strategy, providing the insights that help our Sales, Marketing, and Leadership teams make smarter, faster decisions. If you have a passion for data visualization, a knack for modeling, and the business sense to know what matters, this is your role.

What You'll Do

• Be the Insight Engine: Proactively analyze our diverse data to uncover trends, correlations, and opportunities that others might miss. Tell the story behind the numbers to influence our GTM strategy.
• Build the Foundation: Design, build, and maintain clean, reliable, and performant dashboards and reports in Looker that become the single source of truth for the entire company.
• Power Our Growth: Help build and refine sophisticated marketing attribution and sales forecasting models to directly measure and improve the effectiveness of our revenue teams.
• Champion Data Integrity: Establish standardized definitions for key metrics (like "active users" and "enterprise acquisition") to ensure clarity and consistency across all teams.
• Drive Efficiency: Identify and fix slow queries and data pipeline bottlenecks, working to streamline how we access and use our data.
• Support Key Initiatives: Collaborate on building financial models for critical, high-impact projects like pricing strategy.

What We're Looking For

• A bachelor's degree in Data Analytics, Statistics, Business, or a related quantitative field.
• 3+ years of professional experience in a Data Analyst, BI Analyst, or similar role.
• You are a SQL expert: You can write complex, optimized queries in your sleep.
• You are a visualization pro: You have advanced experience with Looker (or similar BI tools like Tableau, Power BI) and know how to make data intuitive and actionable.
• You have foundational data warehousing knowledge: Hands-on experience with Redshift, BigQuery, or Snowflake, and familiarity with ETL tools like Fivetran.
• You're a business-minded technologist: You don't just report the data; you understand what it means for the business and can make strategic recommendations.
• You're a brilliant communicator: You can effectively partner with and present to stakeholders from technical teams to company executives.

Bonus Points If You Have

• Experience in a B2B SaaS environment.
• A background in Marketing, Product, or Sales operations.
• Experience with Python or R for statistical analysis.

About us

Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence: industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), 2) Our proprietary AI orchestrator, 3) Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.

Ready to kick start your career with us?

About this role

This role will give you the opportunity to deliver high-added value data & analytics projects and build high-quality and innovative solutions for our clients within a growing service company.

What will you do?

• Propose solutions and strategies to tackle business challenges.
• Contribute to the design of the technical solution chosen to collect, analyze data, and display the results obtained.
• Manage a project from A to Z
• Analyze large amounts of information to find patterns and solutions.
• Data mining or extracting usable data from valuable data sources.
• Carry out preprocessing of structured and unstructured data
• Enhance data collection procedures to include all relevant information for developing analytic systems.
• Develop prediction systems and machine learning algorithms
• Present results in a clear manner
• Processing, cleansing, and validating the integrity of data to be used for analysis.
• Assist the IT teams in all phases of the production, maintenance, and update of the models developed.
• Provide internal training to new joiners when needed.
• Support the Team Lead/Manager regarding client relationships, business development, and internal projects.

Requirements

Who are you?

EDUCATION & PROFESSIONAL EXPERIENCE

• Master's degree in a relevant field such as Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, Data Engineering
• 4 to 8 years of technical experience in advanced analytics and data science
• Full proficiency in English + 1 Additional language (French, German, Arabic, Spanish, Italian, Portuguese.)

TECHNICAL SKILLS

• Proven hands-on experience in Python programming language coupled with additional languages experience if possible (e.g. SAS, R, Javascript)
• Strong skills in Statistics & Machine Learning such as regressions, Clustering techniques, Time Series techniques, Bagging & boosting trees, Ensemble models, Neural networks
• Exposure to BI/Data visualization platforms such as Power BI, Tableau, Looker, QlikView…
• Proven hands-on experience in Big Data environments and languages such as Hadoop, Hortonworks, Cloudera, Spark, Scala, PySpark, etc. &Big Data querying tools, such as Pig, Hive, and Impala
• Proven hands-on experience in large data sets both structured and unstructured data: Snowflake, SQL and relational databases, data warehouse, data lake
• Exposure to NoSQL databases, such as HBase, Cassandra, MongoDB
• Proven hands-on experience in API integration using Python for extracting data from different sources
• Proven hands-on experience in container technologies – Docker, Kubernetes, etc.
• Proven hands-on experience in solutions development & deployment experience in Cloud ecosystems and its associated services AWS, Azure, Google Cloud, and IBM Cloud.
• Experience in building robust data pipelines using ETL techniques and frameworks, such as Flume
• Experience to work with large volumes of structured and unstructured data and leveraging it to build AI/ML model deployment & monitoring/enhancements for standalone solutions or through end-to-end automated data pipelines

INTERPERSONAL SKILLS

• Can step back, analyze problems, find solutions and the drive to implement these. Good management skills with a track record of coordinating workflow and assuring quality with a strong ability to multitask.
• Can work & collaborate with variety of stakeholders & clients throughout data project lifecycle
• Strong interpersonal skills and organizational skills, high motivation, an attention to detail, flexibility, and ability to cope under stress, a focus on identifying the solutions to problems.
• Strong communication skills & ability to translate complex solutions into business implications and at the same time being able to explain mathematical concepts when required

Benefits

What we offer

• A competitive salary
• A great working environment
• A steep learning curve with interesting and diverse topics to work on
• A healthy work-life balance
• Health insurance Benefits

What is it like to work at Infomineo?

If you've spoken with someone who works at Infomineo, you've probably heard that our people are our most valuable asset. Our diversity, both in terms of professional experience and culture, is the company's greatest strength.By being a part of Infomineo, you'll have the opportunity to work alongside a friendly, smart, and international team that values intellectual vitality and creativity. You will learn the best practices and tools in your field of work, as well as how best to leverage AI for more efficiency to enable focusing on generating more impact to a client. You will grow your career and expertise across different regions and industries. As a member of the team, you'll be encouraged to contribute by applying your ideas while playing an instrumental role in the company's development and growth. Within this role, you'll support leading international institutions & companies with the data and information required to fuel key business decisions

Equal opportunity employer

Infomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, training and job termination).

If you believe you match our requirements and values, we would be happy to hear from you. Visit our website to know more about us, our services and company culture.

We are looking for a goal-oriented and technically brilliant Data Analyst to join our GTM Operations team. You will be the key link between our complex data systems and our Go-To-Market strategy, providing the insights that help our Sales, Marketing, and Leadership teams make smarter, faster decisions. If you have a passion for data visualization, a knack for modeling, and the business sense to know what matters, this is your role.

What You'll Do

• Be the Insight Engine: Proactively analyze our diverse data to uncover trends, correlations, and opportunities that others might miss. Tell the story behind the numbers to influence our GTM strategy.
• Build the Foundation: Design, build, and maintain clean, reliable, and performant dashboards and reports in Looker that become the single source of truth for the entire company.
• Power Our Growth: Help build and refine sophisticated marketing attribution and sales forecasting models to directly measure and improve the effectiveness of our revenue teams.
• Champion Data Integrity: Establish standardized definitions for key metrics (like "active users" and "enterprise acquisition") to ensure clarity and consistency across all teams.
• Drive Efficiency: Identify and fix slow queries and data pipeline bottlenecks, working to streamline how we access and use our data.
  Support Key Initiatives: Collaborate on building financial models for critical, high-impact projects like pricing strategy.

What We're Looking For

• A bachelor's degree in Data Analytics, Statistics, Business, or a related quantitative field.
• 3+ years of professional experience in a Data Analyst, BI Analyst, or similar role.
• You are a SQL expert: You can write complex, optimized queries in your sleep.
• You are a visualization pro: You have advanced experience with Looker (or similar BI tools like Tableau, Power BI) and know how to make data intuitive and actionable.
• You have foundational data warehousing knowledge: Hands-on experience with Redshift, BigQuery, or Snowflake, and familiarity with ETL tools like Fivetran.
• You're a business-minded technologist: You don't just report the data; you understand what it means for the business and can make strategic recommendations.
  You're a brilliant communicator: You can effectively partner with and present to stakeholders from technical teams to company executives.

Bonus Points If You Have:

• Experience in a B2B SaaS environment.
• A background in Marketing, Product, or Sales operations.
• Experience with Python or R for statistical analysis.

Who are we?

noon, the region's leading consumer commerce platform. On December 12th, 2017, Noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now includes marketplaces for food delivery, quick-commerce, fintech, and fashion. Noon is a work in progress; we're six years in, but only 5% done. Noon's mission: every door, every day.

Qualifications & Requirements:

• Hands-on experience in SQL/BigQuery + any programming language, Python is preferred but not mandatory
• Excellent analytical skills and problem-solving capabilities
• Advanced Excel/Google Sheets knowledge
• Experience in the e-commerce industry is preferred but not mandatory

Key Responsibilities:

• Work within a cross-functional team that develops products as part of one of our businesses
• Design and build batch (and occasionally real-time) data pipelines and models for product, analytics, and reporting purposes
• Monitor data quality and integrity, designing and developing checks to ensure accuracy and consistency
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for optimization
• Assist in developing dashboards and visualizations to expose data to users and stakeholders effectively
• Occasionally develop and optimize ML models to support product goals, as well as deploy and operate such models in production
• Occasionally support ad-hoc data requests and reporting for business stakeholders
• Core technologies: Python, SQL, Google Bigquery, Clickhouse

Who will excel?

'noon isn't for everyone. And that's okay.' This is one of our core operating principles.

We're looking for resourceful doers. Thinkers who are both creative and analytical. Problem solvers who are enthusiastic about delivering results. Our ideal candidate will be comfortable in a fast-paced, multi-tasked, high-energy and often ambiguous environment.

If the above values resonate with you, then noon might be the place for you.

Join Us
At Vodafone, we're not just shaping the future of connectivity for our customers – we're shaping the future for everyone who joins our team. When you work with us, you're part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

Role Purpose
The Data & Analytics Engineer role focuses on creating engineering & analytics according to data scope for our home product portfolio, serving millions of homes across Europe. As a key member of our data team, you will be responsible for implementing reporting pipelines and integrating them with cross-product analytics to inform strategic decision-making processes. The role offers an exciting opportunity to work with large and complex datasets, develop innovative analytics solutions using industry best analytics services and practices and contribute to the success of our products in the market.

Also, to design, build, and maintain scalable, end-to-end data engineering and analytics solutions that deliver actionable insights, support strategic decision making, and drive continuous improvement across Vodafone's Home Technology and Products portfolio.

As the candidate gains knowledge and experience, the position will evolve into an end-to-end analytics architect role, where you will play a pivotal role in designing and implementing comprehensive analytics solutions across the organization.

Key Accountabilities And Decision Ownership

• Design and implement cloud-based reporting pipelines leveraging AWS and GCP services, ensuring scalable, efficient, and cost-effective data processing and analytics solutions
• Develop and maintain robust ETL/ELT workflows to ingest, transform, and optimize structured and unstructured data, enabling seamless integration with analytics and BI platforms
• Ensure data quality and reliability by implementing automated testing frameworks, data validation processes, and monitoring systems to proactively identify and resolve data inconsistencies
• Provide technical leadership and mentorship to junior data engineers, BI developers, and analysts; foster best practices and continuous learning within agile delivery teams
• Develop and deploy interactive dashboards and reports (Tableau, Power BI) that deliver clear, actionable insights to executive and operational teams. Establish automated data quality, validation, testing, and monitoring frameworks to ensure data accuracy, reliability, and performance

Core Competencies, Knowledge And Experience

• Mastery of SQL, with a proven track record of utilizing advanced features and optimizations, coupled with hands- on experience in GCP BigQuery, enabling efficient data querying and manipulation
• Robust expertise in a wide range of data-related technologies(AWS Colud tools ), encompassing sophisticated data analytics techniques, comprehensive data warehousing strategies, and cutting-edge business intelligence solutions, ensuring a comprehensive understanding of the data landscape
• Proficiency in crafting insightful reports and intuitive dashboards tailored to diverse business needs, showcasing the ability to distill complex data into actionable insights that drive strategic decision-making
• Adept at identifying and resolving database and data process issues through systematic troubleshooting methodologies, ensuring data integrity and operational continuity across various systems and processes
• Demonstrated proficiency in leveraging data visualization tools, particularly Tableau, to create compelling and impactful visual representations of data, enhancing communication and understanding of key insights among stakeholders

Must Have Technical / Professional Qualifications

• Bachelor's degree in a quantitative subject (e.g., computer science, mathematics, engineering) (Must work in SW environment )
• 4+ years' experience as a Data Analyst or Engineer
• Hands-on expertise with cloud platforms (GCP BigQuery, AWS Cloud tools ), ETL/ELT tools, and BI visualization software(Tableau is must)
• Hands on experience with all aspects of software development including gathering requirements, analysis, design, dimension building, data loading, optimization and front end development
• Solid understanding of Management reporting requirements, cross functional KPIs and regulatory reports

Purpose of the job

• Develop, implement, test, debug and provide technical support for reporting and information extraction tasks within the scope of Orange DWH & application reporting area.

Duties And Responsibilities

• Responsible for the DW and business intelligence and reporting all development functionalities using all available extracting, reporting and business intelligence tools.
• Support the End Users to better work with their related applications.
• Document all reporting changes and modifications and all development activities.
• Monitor queries performance and outputs quality and sustain quality throughout all activities.
• Ensure deadlines for delivering input for internal and external reports are always respected.
• Ensure dispatching all reports and/or queries result to their distribution list.
• Support business domains when they receive the access to run their reports directly from the DWH and/or BSCS reporting Server.
• Sustain an acceptable response to user reporting requirements (Reports, data extraction)
• Update constantly DWH and information systems skills, experience and competencies.
• Develop required reports and presentation interfaces for Orange information systems.
• Respond to information requirements and business needs following procedures and workflow and enforce their usage. Automate information and reporting processes.
• Responsible for testing the performance of any developed module (extraction, scripting, reports.)

Job specification
Education

• B.Sc. Computer Science or equivalent

Experience.

• 3-5 years of working experience in information systems and business intelligence
• Have a deep understanding of various data modeling methodologies, design patterns and design principles in data warehousing.
• Strong SQL skill for enterprise class RDBMS.
• Awareness of Office and desktop applications (word, excel, etc).
• Work experience in telecommunication environment is a plus.

Skills And Abilities

• Experience with Data collection, Reporting tools and technologies in SQL, and Advanced Excel
• Excellent analytical skills.
• Awareness of end-to-end DWH lifecycle
• Strong Programming and scripting skills.
• Good communication skills.
• Good interpersonal and teamwork skills.
• High aptitude for research and development.
• Fluent English.
• Ability to work under pressure & tight deadlines
• Ability to work in a team

Job purpose:

responsible for data collection, data modelling, data visualization, and data interpretation to support business decision-making, and drive performance improvements, and determining the best way to represent it visually to managers and stakeholders.

Responsibilities:

1. Data Collection & Preparation:
Collect, clean, and prepare data from multiple sources for analysis, ensuring data quality, accuracy, and integrity

2.Data Analysis
: Perform exploratory data analysis and statistical analysis to identify patterns, trends, and insights in large datasets.

3.Data Visualization:
Develop data visualizations, dashboards, and reports using tools such as Tableau, Power BI, or similar, to communicate key insights and findings to business stakeholders.

4. Business Insights
: Collaborate with business leaders and stakeholders to understand business requirements, define analytical objectives, and deliver actionable insights and Recommendations

5. Predictive Modeling:
Build and deploy predictive models and machine learning algorithms to forecast trends, identify opportunities, and solve business problems.

6. Performance Measurement:
Define and track key performance indicators (KPIs) and metrics to measure the effectiveness and impact of data analytics initiatives on business outcomes.

7.Continuous Improvement:
Stay abreast of industry trends, emerging technologies, and best practices in data analytics, and contribute to continuous improvement initiatives to enhance data analytics capabilities and Process.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
• 2+Years Previous experience in data analysis, business intelligence, or related fields preferred.
• Proficiency in data analysis tools and programming languages, such as SQL, Python, R, or similar.
• Experience with data visualization tools, such as Tableau, Power BI, or similar.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Detail-oriented and organized, with the ability to manage multiple tasks and priorities effectively.
• Passion for data-driven decision-making and continuous learning