WHAT DOES A JUNIOR DATA ANALYST DO?

Published: Jan 13, 2026 - The Junior Data Analyst supports complex projects by conducting ad hoc analysis, contributing to financial models, and producing clear, insightful reports that enhance accuracy and reliability. This role involves optimizing data flows, improving reporting processes, supporting dashboard development, and collaborating across departments to resolve system issues and maintain strong controls. The individual also assists with audits, prepares management reports, evaluates new business activities, and responds to executive-level requests.

A Review of Professional Skills and Functions for Junior Data Analyst

1. Junior Data Analyst Overview

  • Stakeholder Collaboration: Collaborate with stakeholders such as users, Business Analysts, and Project Managers to understand business needs and data expectations.
  • Requirements Analysis: Gather detailed information that supports accurate interpretation of functional and analytical requirements.
  • Data Translation: Translate business requirement documents into clearly defined data requirements.
  • Data Mapping: Develop source-to-target data mappings based on these defined needs.
  • Data Review: Review existing data structures to ensure alignment with mapping expectations.
  • Data Transformation: Create transformations that convert data from one file format to another based on approved specifications.
  • Function Development: Implement functions that support consistent and accurate data conversion.
  • Data Validation: Validate transformed outputs to confirm adherence to mapping rules and business objectives.

2. Junior Data Analyst Functions

  • Operations Support: Support Operations, Client Services teams, and senior management teams as a member of the Data Operations team.
  • Client Liaison: Liaise with internal and external clients.
  • Quality Monitoring: Monitor and audit daily quality across the business.
  • Process Automation: Set up and maintain automated data processes.
  • KPI Reporting: Perform daily reporting tasks and KPI tracking.
  • Data Analysis: Manipulate, analyse, and interpret complex data sets.
  • Report Preparation: Prepare key company reports and dashboards.
  • Research Support: Assist with internal and external research and analysis projects.
  • Process Documentation: Gather information on, understand, and document key business processes.
  • Data Visualisation: Create data dashboards, graphs, and visualisations for internal and external clients.
  • Client Support: Respond to inbound client queries and assist with technical support.

3. Junior Data Analyst Accountabilities

  • Data Quality Assurance: Ensure that data stored in the asset management system remains accurate, comprehensive, and aligned with all required data quality standards.
  • Database Maintenance: Maintain a fully populated asset management database containing complete and reliable asset information.
  • System Integration: Oversee the flow of information between the asset management system and the housing management system to maintain consistency.
  • Works Planning Support: Support the preparation of planned works programmes by providing property information, tenant details, and related data.
  • Asset Compilation: Compile relevant asset details that assist in planning maintenance and operational activities.
  • Work Recording: Record data for all completed works to maintain an up-to-date asset history.
  • Record Updating: Update records promptly to reflect changes resulting from repairs, replacements, or improvements.
  • Budget Management: Maintain and revise budget templates to incorporate current contract information.
  • Financial Accuracy: Ensure that financial templates accurately reflect operational and contractual updates.

4. Junior Data Analyst Responsibilities

  • Statistical Analysis: Interpret data and analyze results using statistical techniques to produce ongoing reports.
  • Performance Evaluation: Evaluate metrics regularly to highlight meaningful changes and performance patterns.
  • Data Strategy: Develop and implement database data collection systems and analytics strategies that improve statistical efficiency and quality.
  • Data Architecture: Create structured data environments that support reliable reporting and analysis.
  • Data Acquisition: Acquire data from primary and secondary sources while maintaining organized and accurate databases.
  • System Maintenance: Ensure data systems remain updated and aligned with operational and analytical requirements.
  • Trend Analysis: Identify, analyze, and interpret trends or patterns within complex data sets.
  • Pattern Detection: Assess correlations, anomalies, and emerging signals that inform strategic understanding.
  • Data Cleansing: Filter and clean data by reviewing computer reports, printouts, and performance indicators to detect and correct code issues.
  • Data Integrity: Resolve inconsistencies to strengthen data integrity across all outputs.
  • Stakeholder Collaboration: Collaborate with management to prioritize business requirements and information needs.
  • Process Improvement: Locate and define new process improvement opportunities that enhance analytical workflows and data quality.

5. Junior Data Analyst Details

  • Data Analysis: Conduct data analysis and generate actionable insights, and make recommendations for improving, developing, and launching products.
  • Results Communication: Communicate key results using self-serve tools, including dashboards and analytics tools for product teams and key stakeholders.
  • Self Development: Use feedback and reflection to develop self-awareness, identify strengths, and address development areas.
  • Team Delegation: Delegate to others to create stretch opportunities and provide coaching to help deliver results.
  • Innovation: Develop new ideas and propose innovative solutions to problems.
  • Trend Analysis: Use a broad range of tools and techniques to extract insights from current business trends.
  • Quality Review: Review completed work and peer work for quality, accuracy, and relevance.
  • Influential Communication: Use clear and structured communication when influencing others.
  • Relationship Building: Read situations effectively and modify behavior to build quality and diverse relationships.
  • Ethical Conduct: Uphold the firm's code of ethics and business conduct.

6. Junior Data Analyst Duties

  • Stakeholder Collaboration: Collaborate with senior management, technical teams, and client groups to determine data requirements and suitable implementation approaches.
  • Data Best Practices: Define best practices for advanced data manipulation, storage, and analysis strategies that support organizational needs.
  • Database Design: Write and code logical and physical database descriptions while specifying identifiers required by the database management system.
  • Technical Guidance: Provide direction to others involved in coding descriptions to ensure accuracy and consistency.
  • ETL Development: Design, implement, automate, and maintain large-scale enterprise ETL processes.
  • Pipeline Management: Ensure that data pipelines operate efficiently and support reliable downstream analytics.
  • Database Modification: Modify existing databases and database management systems to meet evolving requirements.
  • Team Leadership: Guide programmers and analysts in making structural or functional changes to database components.
  • System Testing: Test programs and databases to verify performance accuracy and stability.
  • Issue Resolution: Correct errors and apply necessary modifications to maintain optimal system functionality.

7. Junior Data Analyst Details and Accountabilities

  • Data Processing: Process high volumes of data with accuracy and consistency.
  • Reconciliation Review: Review daily reconciliations to identify errors and discrepancies in incoming information.
  • Issue Analysis: Examine mismatches to determine root causes and required corrections.
  • Excel Automation: Use Excel Macros to navigate daily data uploads and streamline repetitive tasks.
  • Process Automation: Automate routine steps to improve efficiency and reduce manual workload.
  • Internal Liaison: Liaise with internal stakeholders when reporting identified errors.
  • External Communication: Communicate issues to external stakeholders when clarification or correction is required.
  • Data Quality Support: Support continuous data quality by ensuring the timely resolution of reported discrepancies.

8. Junior Data Analyst Tasks

  • PivotTables: Create PivotTables and utilize dynamic ranges.
  • VBA Automation: Use a master pivot table to drive other pivot tables through VBA macros.
  • Excel Functions: Measure data using COUNT(), COUNTA(), COUNTIF(), and SUBTOTAL().
  • Data Formatting: Format and reformat data types in Excel using formulas.
  • Advanced Formulas: Utilize COUNTIFS, SUMIFS, VLOOKUP, IFERROR, and combinations of these formulas.
  • Large Data Handling: Manipulate large datasets in Excel with 100,000 or more rows.
  • Business Acumen: Learn and understand business models and fully comprehend operational concepts and their relationship to the data being utilized.
  • Critical Thinking: Apply strong critical thinking skills, show willingness to learn, and demonstrate eagerness to conduct research.
  • Reporting Support: Support all analytical and statistical reporting requirements for program activities.
  • Statistical Reporting: Develop, analyze, and produce standardized statistical reports and ad hoc reports for internal and external customers, including Congress, Agency leadership, and stakeholders.
  • Task Tracking: Track taskings assigned to the program.

9. Junior Data Analyst Roles

  • Dashboard Development: Develop and maintain dashboards and reports that present clear analytical outputs.
  • Statistical Analysis: Interpret data and analyze results using statistical techniques to deliver ongoing reports.
  • Trend Analysis: Identify trends, patterns, and relationships within complex data sets.
  • Performance Review: Review performance indicators to determine shifts that require attention.
  • Data Cleansing: Filter and clean data by examining computer reports and locating code issues that need correction.
  • Data Integrity: Resolve inconsistencies to preserve data accuracy and reliability.
  • Process Assessment: Assess workflows to locate new opportunities for process improvement.
  • Improvement Recommendations: Recommend enhancements that strengthen analytical efficiency and data quality.

10. Junior Data Analyst Additional Details

  • Fraud Analysis: Design and perform manual data analysis on live production data to detect data anomalies and support anti-fraud efforts.
  • Release Monitoring: Monitor release and development processes to anticipate potential issues.
  • Test Planning: Develop and maintain test plans, test cases, and checklists related to anti-fraud and compliance.
  • Acceptance Testing: Perform manual acceptance testing of new features before product releases.
  • System Awareness: Stay informed of configuration, deployment, and database changes to ensure analytics tools function correctly.
  • Platform Compatibility: Ensure future browser and operating system releases do not interfere with fraud detection solutions.
  • Data Visualization: Conduct data analysis and visualization, review production statistics, and forecast potential problem areas.
  • Dashboard Review: Review and analyze existing anti-fraud dashboards, tools, and reports to improve manual review methodologies.
  • Threat Research: Research and investigate new geo-blocking bypass techniques.
  • Technical Knowledge: Develop and maintain a thorough understanding of company technologies, processes, and teams.
  • Strategic Alignment: Understand the company vision, goals, and strategy and contribute actively to their achievement and execution.
  • Time Reporting: Report hours spent on tasks accurately in Jira.

11. Junior Data Analyst Essential Functions

  • Data Migration: Identify, collect, migrate, and interpret data from relevant sources.
  • Data Visualization: Conduct data analysis and present results through clear data visualizations.
  • Insight Delivery: Deliver findings to stakeholders and make recommendations that support beneficial change.
  • Structured Communication: Communicate insights in a structured manner that highlights opportunities for improvement.
  • Team Collaboration: Participate in team meetings and contribute to ongoing efforts to enhance processes and data practices.
  • Data Standards: Support the team in establishing consistent data standards.
  • Advanced Analytics: Apply analytical techniques such as data mining and modeling to uncover trends and patterns.
  • Predictive Analysis: Learn methods that help predict future outcomes based on historical data.
  • Skill Development: Strengthen analytical capability through continuous skill development and practical application.

12. Junior Data Analyst Role Purpose

  • Business Analysis: Conduct business analysis in partnership with Supply Chain Transportation Subject Matter Experts and Ops leaders to identify new standard operating opportunities.
  • Gap Assessment: Review cross-functional inputs to highlight operational gaps and potential improvements.
  • Process Improvement: Leverage ideas from Support Teams to source and develop creative improvement plans for Flow Analytics.
  • Proposal Evaluation: Evaluate proposals to determine feasibility and expected impact.
  • Best Practices: Take proactive steps to ensure best practices are shared and standardized across all sites.
  • Process Standardization: Promote consistency in processes that influence efficiency and performance.
  • Subject Matter Expertise: Serve as a Subject Matter Expert in Operations, Transportation, and Customer Experience.
  • Performance Monitoring: Continuously monitor site performance metrics linked to Flow Analytics to detect issues or shifts.
  • Corrective Action: Take corrective actions to optimize productivity performance and overall Customer Experience.

13. Junior Data Analyst General Responsibilities

  • Reporting Development: Develop timely and accurate reporting that supports operational and strategic needs.
  • Deadline Management: Maintain reporting outputs while managing deadlines for updates and modifications.
  • Performance Analysis: Create proactive analyses on Infrastructure performance, including forecasts for Homes Passed and other KPIs.
  • Strategic Analysis: Conduct in-depth data analysis to guide Infrastructure strategy and planning.
  • Insight Communication: Communicate conclusions and learnings clearly to ensure understanding across stakeholders.
  • Data Quality: Promote strong data quality in all information used for reporting and analysis.
  • Data Verification: Verify that the collected data meet accuracy, completeness, and consistency standards.
  • BI Development: Initiate BI developments that strengthen Infrastructure planning capabilities.
  • Strategy Support: Support strategy execution by enhancing analytical tools and reporting frameworks.

14. Junior Data Analyst Key Accountabilities

  • Dashboard Development: Design, develop, maintain, and optimize reports and dashboards that support analytical needs.
  • Data Governance: Ensure consistent application of data governance initiatives across all reporting processes.
  • Data Cataloging: Contribute to the data catalog and keep the report inventory updated.
  • Documentation Control: Verify that documentation remains accurate and aligned with organizational standards.
  • Data Tooling: Build data collection tools and decision support resources that improve analytical workflows.
  • Data Accessibility: Support reliable data access by developing structured and scalable solutions.
  • Community Engagement: Participate actively in the Tableau Analyst Group to share knowledge and strengthen best practices.
  • Visualization Improvement: Contribute insights that enhance visualization quality and overall analytical capability.

15. Junior Data Analyst Roles and Details

  • Data Cleansing: Assist with data cleansing activities to maintain the integrity of the Data Hub.
  • Data Review: Review records regularly to ensure accuracy, consistency, and completeness.
  • Data Transfer: Manage data transfer tasks and apply required formatting standards.
  • Data Integration: Collate complex data sets from multiple sources to support unified analysis.
  • Master Data Management: Create and maintain standardized master data across multiple organizations.
  • Data Verification: Verify that master data remains aligned with organizational requirements.
  • Issue Identification: Identify data issues that affect quality or structure.
  • Issue Communication: Communicate identified issues to relevant teams to ensure timely resolution.

16. Junior Data Analyst Responsibilities and Key Tasks

  • Data Verification: Verify statistical, performance, and operational data for accuracy.
  • Report Preparation: Prepare routine and ad hoc reports, scorecards, and dashboards.
  • Data Archiving: Develop and maintain data archives and repositories.
  • Data Access: Make recommendations to improve access to and sharing of data and information.
  • Analytical Support: Provide analytical support to evaluate the accuracy and validity of operational and performance measurement data based on historical trends.
  • Metric Compilation: Compile key operational and performance data and metrics for internal and external distribution on a predetermined schedule.
  • Tool Maintenance: Maintain existing tools and macro-enabled Excel applications used to collect, archive, and manage historical data, reports, and information.
  • Process Analysis: Conduct process and workload analyses to identify areas of improvement and develop effective measures and metrics to drive improvements across all work streams.

17. Junior Data Analyst Duties and Roles

  • Engineering Analysis: Analyze research and interpret automotive OEM parts engineering data from multiple technical sources.
  • Parts Release: Issue new OEM spare parts into global distribution to support accurate catalog availability.
  • Technical Illustration: Design illustrations based on 3D visualizations to improve clarity of parts identification.
  • Visual Accuracy: Use engineering references to ensure each visual accurately represents the underlying component.
  • Stocking Decisions: Make decisions that influence parts stocking and availability for dealerships handling routine maintenance, warranty, and post-warranty repairs.
  • Supply Review: Review supply considerations to support consistent parts readiness.
  • Technical Resources: Work with multiple resources, including databases, technical drawings, specifications, and 3D models.
  • Data Integration: Integrate information from these sources to confirm accuracy and completeness.
  • Stakeholder Liaison: Liaise with internal teams such as customer support, as well as departmental contacts and dealers across regions.
  • Catalog Accuracy: Ensure that spare parts catalog content precisely reflects engineering data and meets quality expectations.

18. Junior Data Analyst Roles and Responsibilities

  • Performance Metrics: Create metrics and performance dashboards that measure carrier health and potential.
  • Operational Review: Review operational indicators to highlight strengths, weaknesses, and emerging risks.
  • Root Cause Analysis: Drive root cause analysis to identify factors affecting carrier performance.
  • Cross-Functional Collaboration: Work with cross-functional teams and carriers or vendors to implement project or program requirements.
  • Activity Coordination: Coordinate activities to ensure smooth execution across all participants.
  • Project Management: Manage multiple projects or initiatives simultaneously while maintaining clear priorities.
  • Executive Communication: Communicate effectively at all organizational levels with concise data-supported information.
  • Insight Presentation: Present findings in a professional format that enables informed decision-making.

19. Junior Data Analyst Overview

  • Pricing Preparation: Prepare all new and existing product pricing requests submitted by the sales team for review and approval by the Head of Commercial, Data, and Reporting.
  • Product Setup: Set up new products on the EFAC system.
  • Product Records: Maintain an accurate record of existing products within EFAC.
  • Pricing Models: Carry out reviews, perform maintenance, and assist with the development of Excel-based pricing models.
  • Innovation Liaison: Liaise with the Innovation Team to ensure all new developments are recorded in line with the quotation register.
  • KPI Preparation: Collate and prepare KPI information from the business for the Senior Leadership Team review.
  • Process Championing: Champion the new product development process and ensure adherence.
  • Business Case Support: Champion the annual £500k challenge by assisting with the collation and delivery of business cases.
  • Data Analysis: Collect and analyse data from the business.
  • Insight Communication: Communicate analytical insights and ideas to senior stakeholders.
  • Internal Liaison: Liaise with internal teams.
  • BI Development: Assist with the development of Power BI reporting.

20. Junior Data Analyst Functions

  • Master Data Management: Manage master data, including creation, updates, and deletion.
  • Data Lifecycle: Commission and decommission data sets.
  • Data Governance: Process confidential data and information in accordance with guidelines.
  • Trend Analysis: Identify, analyze, and interpret trends or patterns in complex data sets.
  • Reporting Analysis: Develop reports and perform data analysis.
  • Reporting Design: Manage and design the reporting environment, including data sources, security, and metadata.
  • Warehouse Support: Support the data warehouse by identifying and revising reporting requirements.
  • Technical Expertise: Provide technical expertise on data storage structures, data mining, and data cleansing.
  • Template Management: Evaluate and review hierarchies, template updates, and template functionality.
  • Financial Analysis: Monitor and analyze expense and revenue trends along with departmental variance analysis.
  • Management Support: Facilitate all levels of management by addressing business-related questions.
  • Forecasting Support: Assist the forecasting team in supporting financial planning, forecasting, and analysis for the sales and operations teams to ensure accurate financial reporting, strengthen internal controls, and support decision-making analysis.

21. Junior Data Analyst Accountabilities

  • Project Support: Provide support on complex projects and ad hoc analysis.
  • Financial Modeling: Contribute to the design of financial models, scenarios, and sensitivities for projects and reporting requirements, apply models, and interpret results.
  • Report Development: Build clear and insightful reports.
  • Reporting Improvement: Improve the reliability, accuracy, clarity, and production time of financial reports.
  • Data Automation: Automate and optimize efficient and accurate data flows between various financial and enterprise systems for sustainable and scalable reporting.
  • Cross-Department Collaboration: Build relationships with other departments and help develop system solutions to accurately record new business transactions for both operational and consolidated results.
  • Documentation: Produce clear and well-structured documentation that supports reporting needs and audit processes.
  • Dashboard Development: Support the development and implementation of dashboards and management reports to meet stakeholder needs.
  • Process Control: Ensure business processes enable accurate financial information and implement corrective measures.
  • Market Analysis: Understand the competitive landscape and assist with market analysis.
  • Audit Support: Assist in annual audits by compiling required information and analysis.
  • SOX Compliance: Ensure reporting processes and key controls maintain SOX compliance.
  • System Issue Resolution: Work with the Financial Systems and Support Group to resolve system-related issues in a timely and accurate manner.
  • Management Reporting: Participate in the preparation of consolidated and non-consolidated internal management reports.
  • Ad Hoc Projects: Work on ad hoc projects, including assessment of new business activities or process changes.
  • Executive Support: Assist with special requests from the executive team.
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