junior Data Analyst Jobs

Find remote junior data analyst positions. Browse through our curated list of opportunities and take the next step in your career.

Data Analyst
Junior
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๐Ÿงญ Full-Time

๐Ÿ” On-demand services

๐Ÿข Company: Glovo

  • Degree in Engineering, Computer Science, Math, Statistics or similar.
  • 1-2 years of experience providing data for internal decision-making.
  • Strong analytical and coding skills: SQL, Excel, and experience with BI platforms.
  • Python skills and familiarity with analysis tools like Pandas, SciPy, Scikit.
  • Strong strategic vision, problem-solving skills, and project management abilities.
  • Eager to learn and professional English proficiency.

  • Join Glovo's Commercial Team and drive data analysis initiatives.
  • Provide data for main partner strategies.
  • Identify and improve customer experiences through analytics.
  • Contribute insights for key company initiatives and automate data generation.
  • Develop analytical frameworks and communicate effectively with teams.
  • Evaluate strategic opportunities and perform quantitative analyses.
Posted 2024-11-21
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๐Ÿ“ Philippines

๐Ÿงญ Full-Time

๐Ÿ’ธ 4 - 7 USD per hour

๐Ÿข Company: Careers at VirtualStaffing.com

  • 2 - 3 years of experience in data mining, ad data analyst, BI analyst, or similar roles.
  • Preferred experience in ETL/ELT and data visualization.
  • Strong skills in Excel, PowerPoint, Word, SQL, Power BI (Tableau).
  • Knowledge of data management, data governance, dimensional modeling, data manipulation, data documentation, TSQL, or Python is preferred.
  • Experience in advanced analysis and knowledge of data science.
  • Ability to take initiative and work independently with minimum supervision.
  • Must have own laptop or desktop with at least 8GB RAM and core i5 processor, and internet connection of at least 10Mbps.

  • Ensuring accurate and complete finance, sales, and other data are collected.
  • Designing monthly dashboards and reports using Power BI & HubSpot, along with Ad Hoc requests.
  • Working with business partners to analyze complex data sets to identify trends and opportunities.
  • Cleaning and organizing historical data.
  • Defining new data collection and analysis processes.

SQLData MiningETLTableauData miningDocumentation

Posted 2024-11-16
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๐Ÿ“ Germany, Poland, Austria, Belgium, Luxembourg, Spain, Italy, Czech Republic, Netherlands, Switzerland

๐Ÿงญ Full-Time

๐Ÿ” Fashion and Lifestyle

  • Successfully completed degree with a quantitative focus or equivalent logical thinking training.
  • Initial professional experience in data analytics, preferably in e-commerce.
  • Negotiable German language skills.
  • Ability to structure complex analytical questions and communicate results clearly.
  • Fluent in SQL and familiar with databases, preferably with experience in Google Cloud Platform.
  • Experience with visualization tools like PowerBI or Looker Studio.
  • Team player, independent, results-oriented, and eager to learn.

  • Manage ongoing projects and ad-hoc requests related to customer behavior in online, offline, and multichannel environments.
  • Dive deep into customer and transaction data to generate actionable insights.
  • Contribute insights to planning processes.
  • Forecast future performance goals for customer segments.
  • Engage with various stakeholder groups for project initiation and result implementation.

SQLData AnalysisGCPData analysisCommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelProblem SolvingAttention to detailOrganizational skillsTime ManagementWritten communication

Posted 2024-11-15
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๐Ÿ”ฅ Data Analyst
Posted 2024-11-08

๐Ÿงญ Full-Time

๐Ÿ” SaaS-based Global Employment Platform

  • Bachelorโ€™s degree in computer science, Engineering, Statistics, Mathematics, or related field; advanced degree preferred.
  • Proven experience of 2+ years in product analytics, data science, or business intelligence.
  • Expertise in data analytics tools (SQL, Python/R, Tableau, Looker) and data modeling.
  • Strong business acumen to translate data insights into actionable recommendations.
  • Excellent communication and stakeholder management skills.

  • Partner with AI product management, engineering, and operations teams for data insights.
  • Perform analysis using SQL, R, Python and provide strategic contributions.
  • Present findings to senior leadership for decision-making.
  • Monitor product metrics and identify optimization areas.
  • Conduct analysis for improvements and A/B Testing.
  • Work with UX/UI designers for enhanced user experiences.
  • Foster a data-driven culture and provide training on analytics tools.
Posted 2024-11-08
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 70000 - 100000 USD per year

๐Ÿ” Healthcare data and analytics

๐Ÿข Company: Reveleer

  • 1-3+ years in a marketing data management, data analytics, or related role with a strong focus on audience segmentation and campaign analysis.
  • Bachelorโ€™s degree in marketing, data analytics, business, or a related field.
  • Proficiency with CRM and marketing automation platforms (e.g., HubSpot, Salesforce, Marketo) and data visualization tools (e.g., Tableau, Power BI).
  • Strong analytical skills with the ability to interpret complex data sets and provide actionable insights.
  • Advanced Excel skills and experience with SQL or similar query languages for data extraction and manipulation.
  • Excellent communication and collaboration skills, with the ability to work cross-functionally with marketing, sales, and product teams.
  • Strong attention to detail and organizational skills, with a focus on data accuracy and compliance with privacy regulations.
  • Previous experience at a high-growth B2B SaaS company preferred.
  • Willingness and ability to travel for industry events, company meetings, or team collaboration.

  • Build and manage targeted audience segments for marketing campaigns based on customer behavior, demographics, and engagement data.
  • Analyze marketing campaign performance, providing actionable insights to optimize future strategies and improve ROI.
  • Maintain and update customer data in the CRM, ensuring accuracy and efficient segmentation for personalized marketing efforts.
  • Collaborate with marketing teams to develop data-driven strategies that enhance targeting, messaging, and overall campaign effectiveness.
  • Create and maintain detailed reports on key marketing metrics, tracking trends and identifying opportunities for optimization.
  • Continuously monitor and refine audience lists and segmentation criteria to increase the relevance and efficiency of marketing communications.
  • Conduct research to enhance and expand contact and account lists, ensuring that they are up-to-date and aligned with target audience profiles for more effective marketing outreach.
  • Regularly inform key stakeholders on marketing campaign performance to ensure alignment and decision making on data-driven marketing strategies.

SQLData AnalysisSalesforceTableauData analysisAnalytical SkillsCollaboration

Posted 2024-11-07
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๐Ÿ“ India

๐Ÿ” Ecommerce

๐Ÿข Company: Prepared Hero

  • 3+ years of data analytics experience, preferably in marketing or ecommerce.
  • Proficient in Python and SQL; R experience is a plus.
  • Familiar with cloud tools like Google BigQuery and understanding of Customer Data Platform.
  • Knowledge of data visualization tools, particularly Looker Data Studio.
  • Understanding of digital marketing tools and KPIs.
  • Knowledge of A/B testing and statistical testing is an advantage.
  • Understanding of marketing attribution frameworks and funnels.
  • Understanding of incrementality testing and Marketing Mix Model is a plus.

  • Analyze campaign performance and track key performance indicators (KPIs).
  • Develop actionable insights to influence business decisions.
  • Collaborate with marketing teams to improve marketing effectiveness.
  • Work closely with data engineering, marketing and commercial teams, supply chain, and finance.

Project ManagementPythonSQLGoogle Analytics

Posted 2024-11-07
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๐Ÿ”ฅ Data Analyst
Posted 2024-11-07

๐Ÿ“ Canada

๐Ÿ” Fintech

๐Ÿข Company: Borrowell

  • 1+ years working experience with SQL to solve business problems.
  • Experience using data to tell a story that is comprehensive for technical and non-technical audiences.
  • Experience with analytics tools such as Looker, Tableau, or similar (we use Looker).
  • Experience with A/B testing.
  • Strong statistical knowledge.

  • Establish and maintain KPIs and supporting metrics to be used across the project to track performance.
  • Analyze data from different sources.
  • Collaborate across functions to identify data analytics problems and execute solutions with data-driven insights.
  • Translate product requirements into clear and actionable data tasks.
  • Generate visualizations and use data insights to make recommendations and achieve goals.
  • Perform A/B tests to ensure experiment results are reliable, valid, and accurate.

SQLProduct Development

Posted 2024-11-07
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๐Ÿ”ฅ Data Analyst
Posted 2024-10-26

๐Ÿ“ Colombia

๐Ÿ” Data and analytics, Subscription Economy

๐Ÿข Company: Antenna

  • Strong knowledge and experience with SQL, Excel and business intelligence tools e.g. Looker, Redash (2+ years).
  • Ability to organize and analyze large amounts of data with great attention to detail and accuracy.
  • Strong critical thinking and analysis fundamentals, and passionate about applying them to solve complex, open-ended problems.
  • Proven track record of collaborating with internal and external stakeholders to improve operational processes, prioritizing customer needs.
  • Communicate complex technical analyses with ease, and value actionable feedback and respectful candor.
  • Self-starter with the capacity to deliver on multiple initiatives, prioritize time and resources, and meet deadlines in a fast-paced startup environment.
  • Advanced English proficiency (B2-C1).

  • Leverage our complex data pipeline to design custom data solutions that ensure accurate and timely delivery of data to internal and external stakeholders.
  • Proactively collaborate with the commercial team and customers to identify opportunities for Antenna data to drive high-impact strategic decisions.
  • Partner with technical and commercial teams to ensure that custom data products are shipped rapidly without compromising Antennaโ€™s high data quality standards.

SQLData AnalysisData analysisAnalytical SkillsCollaborationMicrosoft Excel

Posted 2024-10-26
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๐Ÿ“ Arizona, California, Connecticut, Illinois, Massachusetts, Michigan, New Hampshire, New York, Texas, Vermont, Washington D.C.

๐Ÿงญ Full-Time

๐Ÿ’ธ 75000 - 85000 USD per year

๐Ÿ” Nonprofit, consumer advocacy

๐Ÿข Company: Consumer Reports

  • Bachelor's Degree or equivalent work experience in computer science, informatics, or statistics.
  • Some experience in applied data science and/or data analysis.
  • Experience with Microsoft Office software, including Access and Excel. Familiarity with SAS preferred.
  • Knowledge of data analysis and visualization software (SPSS, R, Python, Tableau) required.
  • Strong organizational skills and attention to detail.

  • Work to prepare both qualitative and quantitative data and develop methods of analysis or improve existing methods.
  • Develop and run rigorous analyses of multiple data sources under guidance.
  • Assist in interpreting data analysis and developing actionable insights.
  • Provide insights into best methods of presenting data.
  • Fact check and visualize data to support CRโ€™s data-centric product development.
  • Support basic statistical analysis and visualization for CR products and services.
  • Communicate data analysis outcomes clearly to internal stakeholders.

PythonData AnalysisTableauProduct DevelopmentData analysisData scienceCommunication Skills

Posted 2024-10-24
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๐Ÿ“ USA

๐Ÿ’ธ 110000 - 120000 USD per year

๐Ÿ” Fintech

๐Ÿข Company: Branch

  • 2-5 years of data analyst experience with a focus on fraud or risk management.
  • Experience developing fraud scores and risk rules through statistical modeling.
  • Deep experience investigating, analyzing and defending against emerging fraud trends including ATO and first party fraud.
  • Experience identifying and managing card authorization rules.
  • Understanding and experience with financial loss causes, measures, and mitigation strategies.
  • Strong analytic skills utilizing SQL, Python, R, etc.
  • Experience with digital banking, payments networks, or financial services.
  • Intellectually curious and strong ability to adapt strategies as fast as the fraudsters.

  • Identify potential points of opportunity in Branchโ€™s risk management program through the analysis of fraud events, customer behavior, operational pain points and loss trends.
  • Translate analysis into recommendations for business logic to minimize losses and improve customer experience.
  • Create risk analytics workflow, including defining success and performance metrics, and monitor progress through the creation of actionable dashboards and reports.
  • Partner closely with Product and Risk to identify highest impact points in the funnel to reduce loss exposure.
  • Develop scalable frameworks to manage risk scores, fraud detection alerts, and false positive monitoring.
  • Provide recommendations on risk controls and thresholds through fact based analysis.

PythonSQLData AnalysisJiraData analysisAnalytical SkillsMicrosoft Excel

Posted 2024-10-21
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