Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Senior Data Analyst

Posted 28 days agoViewed

View full description

💎 Seniority level: Senior, 5-7 years

📍 Location: GMT to GMT+4 time zone, GMT, GMT+4

🔍 Industry: Non-profit education and tech training

🏢 Company: ALX Africa

🗣️ Languages: English

⏳ Experience: 5-7 years

🪄 Skills: Project ManagementPythonSQLData AnalysisMicrosoft Power BITableauData visualizationData management

Requirements:
  • Education: A Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).
  • Experience: 5-7 years of data analysis experience, with at least 2-3 years in a senior or lead role in a relevant industry.
  • Technical Proficiency: Advanced proficiency in data analysis tools (SQL, Python, R, or similar); Expertise in Microsoft Office, particularly Excel, PowerPoint, and Word; Experience with data visualization tools (Tableau, Power BI, etc.).
  • Data Management: Extensive experience in extracting, managing, and manipulating data from various source systems (APIs, CRM, databases).
  • Data Analysis & Interpretation: Advanced ability to analyze and interpret complex data sets, deriving actionable insights.
  • Data Visualization: Ability to present complex data clearly and effectively through visualizations and dashboards.
  • Communication: Strong written and verbal communication skills, with the ability to present complex findings in clear, accessible reports and presentations.
  • Project Management: Strong organizational and project management skills, with experience leading data-driven initiatives and managing priorities to meet deadlines.
  • Attention to Detail: Exceptional attention to detail, ensuring the highest level of accuracy in all analysis and reporting.
Responsibilities:
  • Lead the collection, analysis, and interpretation of data related to learner and graduate performance.
  • Evaluate the effectiveness of communication platforms and learning content, providing actionable insights and recommendations for improvement.
  • Collaborate with teams to design and implement community-building experiences and events based on data-driven insights.
  • Develop and manage live, automated data systems and dashboards.
  • Deliver weekly and daily data analysis reports, particularly during program activation phases.
  • Support the design and execution of data-driven strategies to enhance learner engagement and satisfaction.
  • Mentor and guide junior analysts, sharing knowledge and best practices to elevate team performance.
Apply

Related Jobs

Apply
🔥 Senior Data Analyst - Power BI/SQL
Posted 7 days ago

📍 United Kingdom

🏢 Company: Pharma Universe

  • 5+ years of experience as a Data Analyst or similar.
  • Strong experience with Power BI, including DAX and advanced data modeling.
  • Proficiency in SQL and ability to analyze raw datasets from various systems.
  • Ability to interpret complex Excel spreadsheets and automate reporting processes.
  • Effective communication skills to work with cross-functional teams.
  • Develop and optimize Power BI dashboards, ensuring efficiency and interactive visualizations.
  • Collaborate with stakeholders to understand data needs and design tailored reporting solutions.
  • Analyze and integrate data from diverse systems, performing in-depth validations to ensure accuracy.
  • Conduct regular checks on data integrity and troubleshoot quality issues using SQL.
  • Experience in supporting ETL processes.

SQLETLMicrosoft Power BIData modeling

Posted 7 days ago
Apply
Apply
🔥 Senior Data Analyst - Brand Advertising(They/She/He)
Posted 15 days ago

📍 Spain

🧭 Full-Time

🔍 Advertising / Data Analytics

🏢 Company: Glovo👥 1001-5000💰 $527,731,096 Series F almost 4 years ago🫂 Last layoff about 2 years agoDelivery ServiceFood DeliveryLogisticsTransportationMobile Apps

  • 3-5 years of professional work experience in a data analytics role, preferably in advertising facing teams.
  • Proficiency in SQL and Python, with experience querying mid to large volumes of data.
  • Higher education in a scientific discipline such as Physics, Statistics, Computer Science, Engineering, or Mathematics.
  • Knowledge or experience in digital product development.
  • Understanding of A/B test principles for experiment design and analysis.
  • Mastery in SQL and statistical programming (Python/R) and experience with tools like Pandas, SciPy, Seaborn, Jupyter/iPython notebooks, R Markdown.
  • Experience in designing and analyzing experiments in digital products.
  • Knowledge of visualization tools like Tableau, Looker, PowerBI.
  • Measure the effectiveness of commercial initiatives and set KPIs for performance.
  • Design new KPIs for advertising campaign success.
  • Build data processing pipelines for Looker Dashboards.
  • Create custom user segments using first-party data.
  • Build API integrations with ad buying platforms.
  • Set up and support dashboards for local teams.
  • Apply advanced modeling techniques to solve business problems.

PythonSQLData AnalysisNumpyTableauData engineeringPandasData visualizationA/B testing

Posted 15 days ago
Apply
Apply
🔥 Senior Data Analyst, Go-to-Market
Posted 16 days ago

📍 United States, Hong Kong, Singapore, United Kingdom

🧭 Full-Time

💸 141700.0 - 198400.0 USD per year

🔍 AI legal tech for private markets

🏢 Company: Ontra👥 101-250💰 $200,000,000 Series B over 3 years agoLegal TechDocument ManagementInformation TechnologyLegalSoftware

  • 5+ years in roles involving data manipulation, exploratory data analysis, and delivering insights through data visualizations.
  • Advanced fluency in SQL for constructing complex queries and high proficiency in BI tools, with interest in Sigma.
  • Intermediate scripting skills in Python or R for analysis.
  • Strong understanding of financial statements, budgeting, and forecasting.
  • Proficient in building data pipelines using DBT or similar tools, and experience in data modeling.
  • Skilled in tracking and analyzing operational KPIs and identifying process improvements.
  • Conduct detailed data analysis to drive decision-making processes and provide actionable insights.
  • Own data analytics in high-impact areas within teams, establish measurable success goals, and collaborate with stakeholders.
  • Drive analytical projects autonomously, ensuring deliverables meet expectations.
  • Proactively engage stakeholders to understand their needs and communicate insights.
  • Mentor other analysts and collaborate with data engineers and data scientists.
  • Explore new collaboration opportunities across teams and propose strategic initiatives.

PythonSQLData AnalysisETLData visualizationFinancial analysisData modeling

Posted 16 days ago
Apply
Apply
🔥 Senior Data Analyst I
Posted 24 days ago

📍 Any country in the world

🧭 Full-Time

🔍 Technology and transportation

🏢 Company: Careem👥 1001-5000💰 $200,000,000 Series F over 6 years ago🫂 Last layoff over 4 years agoCustomer ServiceLogisticsDeliveryRide SharingFinancial ServicesTransportationPublic Transportation

  • 4+ years of demonstrated experience working in an analytical role.
  • 3+ years of experience with business intelligence and visualization tools creating management dashboards.
  • Strong analytical skills and passion for working with large sets of data.
  • Expert at writing SQL queries against large datasets.
  • Self-starter with excellent communication and organizational skills.
  • Must be process-oriented and logical thinker with attention to detail.
  • Working knowledge with reporting tools like Tableau, MicroStrategy or Looker.
  • Familiarity with Python, R, Spark, Hive.
  • Experience in ETL/ELT and working with dimensional data, data lakes, and MPP databases like Redshift is a plus.
  • Act as the first point of contact to answer all business data queries.
  • Develop effective reporting solutions by utilizing engineering best practices and various reporting tools.
  • Participate in continuous improvement of reporting solutions.
  • Drive and support designated business units by interpreting complex data into understandable formats.
  • Present analysis and commentary to both technical and non-technical audiences.
  • Gain subject matter expertise and help define key metrics, discovering areas for business improvement.
  • Provide concrete data-driven insights and test new features for users.
  • Run regular data integrity audits and devise methods for collecting data such as surveys.

PythonSQLBusiness IntelligenceData AnalysisETLSparkData visualization

Posted 24 days ago
Apply
Apply
🔥 Senior Data Analyst (Product)
Posted 28 days ago

📍 Germany, United Kingdom, Poland, Spain, Netherlands

🧭 Full-Time

🔍 Outdoor adventure and exploration

🏢 Company: komoot👥 101-250💰 Seed about 11 years agoInformation ServicesConsumer ApplicationsSubscription ServiceInformation TechnologyMobileSoftware

  • 3+ years of experience with product analytics, including funnel analysis, cohort analysis, retention analysis, and A/B testing.
  • Excellent SQL skills and comfort working with a cloud data warehouse (e.g. Redshift, Snowflake, BigQuery).
  • Proficiency in Python/Pandas for data analysis and familiarity with software development workflows.
  • Experience using dbt for data transformation and modeling (good to have).
  • Good grasp of statistical concepts and their application to real-world scenarios.
  • Effective communication skills for data topics and analysis results.
  • Deep understanding of data quality and reliability.
  • Ability to understand business needs and translate problems into technical solutions.
  • Rigorous analytical thinking and passion for finding actionable insights.
  • Hands-on, self-driven, and able to learn independently.
  • Team player, empathetic communicator, and willing to help others.
  • Turn data into actionable insights about users to drive product decisions.
  • Spot strategic opportunities in data and help shape squad roadmaps.
  • Design metrics to measure the success of key features.
  • Create visualizations to highlight trends and user behavior.
  • Build dashboards and scheduled reports to monitor product KPIs.
  • Design new events to track product features and provide data quality checks for client teams.
  • Design and analyze experiments to validate product hypotheses.
  • Contribute towards trusted data transformation models in dbt.
  • Organize and prioritize tasks of the data analytics roadmap.

PythonSQLData AnalysisPandasData visualizationData modelingA/B testing

Posted 28 days ago
Apply
Apply
🔥 Senior Data Analyst - Monster Survivors
Posted about 1 month ago

📍 France (CET)

🔍 Mobile games and apps

  • Support internal and external studios worldwide in game creation and development.
  • Focus on delivering higher engagement for existing successful games.
  • Join a growing yet small team composed of industry veterans.
  • Participate in every aspect of casual game development.
  • Engage in the ideation process for new game features and concepts.
  • Conduct testing of casual games in the market.

SQLData AnalysisGame DevelopmentData visualizationData analytics

Posted about 1 month ago
Apply
Apply
🔥 Senior Data Analyst
Posted 3 months ago

📍 Brazil, Toronto, Ontario, Canada, Argentina

🧭 Contract

💸 35.0 - 40.0 USD per hour

🔍 Workforce analytics

🏢 Company: Hubstaff

  • Minimum of 5 years of experience in data analysis with a proven track record.
  • Strong expertise in SQL, Python/R, and data visualization tools (e.g., Tableau, Power BI, Looker).
  • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field.
  • Experience with machine learning techniques and predictive modeling.
  • Experience working closely with a product or growth team focusing on onboarding, retention, or experimentation.
  • Strong communication and presentation skills.
  • Experience in managing large datasets and complex data structures.
  • Strong problem-solving skills and attention to detail.
  • Perform complex data analysis to extract insights that influence strategic decisions.
  • Develop and implement statistical models to analyze trends and customer behavior.
  • Identify business opportunities, connect them to customer needs, run experiments, and prove outcomes.
  • Effectively communicate complex analytical insights.
  • Manage and oversee data-related projects, ensuring alignment with business objectives.
  • Ensure the accuracy and integrity of data used in analysis.

PythonSQLData AnalysisMachine LearningData visualizationData modeling

Posted 3 months ago
Apply
Apply
🔥 Senior Data Analyst
Posted 3 months ago

📍 United Kingdom, Europe

🔍 Consultancy

🏢 Company: The Dot Collective👥 11-50Cloud ComputingAnalyticsInformation Technology

  • Proficient in creating logical and physical data models.
  • Ability to develop mapping specifications for data processes.
  • Knowledge of Python with experience in pandas library.
  • Excellent SQL skills for data manipulation.
  • Experience with cloud platforms for data storage and processing.
  • Ability to create data dashboards using tools such as Tableau, Looker, PowerBI, or Qlik.
  • Experience in backlog management tools like Jira or Azure DevOps.
  • Familiarity with agile methodologies in project management.
  • Collaborate with business teams to understand and resolve current data issues.
  • Analyze and cleanse data to ensure accuracy and consistency.
  • Design and implement effective data storage solutions.
  • Create logical and physical data models and mapping specifications.
  • Develop and present data dashboards using tools such as Tableau, Looker, PowerBI, or Qlik.

PythonSQLAgileSCRUMJiraTableauAzurePandasCollaboration

Posted 3 months ago
Apply