TransUnion is hiring for a fresher entry level Data Analyst role in India

Position:

• Data Analyst

Company:

• TransUnion

Location:

• Hyderabad, India

Job type:

• Full time

Job mode:

• Hybrid

Job requisition id:

• 19037960

Years of experience:

• 1 year of experience in SQL, etc. (it can be your personal, project experience as well, not mandatory a full time job experience)

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Company description

• TransUnion operates as a global information and insights company with thousands of employees across many countries.

• The organization focuses on helping individuals and businesses make decisions backed by data.

• Its work involves providing accurate and reliable data so that transactions can happen with confidence.

• The company uses technology, data management approaches, and digital platforms to expand its offerings.

• TransUnion aims to ensure that every individual is represented in the data world in a fair manner.

• The company works in various domains related to credit, fraud prevention, analytics, risk assessment, and marketing.

• It enables safe transactions for businesses and individuals by offering decision support through data services.

• TransUnion invests in new technologies, acquisitions, and digital innovation to keep growing in the market.

• Its solutions help companies understand consumer behavior and make informed decisions.

• The organization helps connect people and businesses to financial opportunities.

• It works on consumer empowerment by making sure individuals understand how their data affects their financial life.

• TransUnion positions itself as a trusted partner for organizations in financial, retail, insurance, and many other industries.

• The company continues expanding into new business areas through product innovation.

• TransUnion emphasizes ethical use of data and strong data stewardship practices.

• A major goal is to support economic growth and help create better experiences for people who use financial services.

• The company encourages collaboration across teams and countries, promoting continuous learning.

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Profile overview

• The position is for a Data Analyst focused on working with structured data sets and reporting outcomes.

• The work includes writing and optimizing SQL queries to extract insights from data.

• You will support ETL processes, assist in data movement activities, and validate data output.

• The role involves analyzing data stored in different environments such as databases and cloud based storage.

• You will build dashboards to present findings to internal stakeholders.

• The position requires understanding business requests and converting them into data outputs.

• The job involves analyzing data quality issues and finding the causes of those errors.

• You will collaborate with engineering, tech, and business teams to understand requirements.

• The role includes regularly working with Excel, Power BI or Tableau for reporting.

• You will review large data sets and extract patterns that guide business decisions.

• There is an expectation to troubleshoot system issues by analyzing logs and identifying irregularities.

• You will help ensure the data passed through pipelines is correct.

• Regular documentation and report maintenance are part of the workload.

• The work combines problem solving, root cause analysis, and data visualization.

• The job functions require both operational execution and analytical thinking.

• This is a hybrid position where work will be done both remotely and from the office.

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Qualifications

• You should have experience working with SQL, Spark SQL, or similar data querying languages.

• Ability to write queries, edit queries, and optimize them for faster data retrieval is required.

• Understanding ETL process stages such as extraction, transformation, and loading will help you succeed.

• Familiarity with cloud platforms such as Google Cloud Platform or Amazon Web Services will be helpful.

• Knowledge of Power BI or Tableau will assist in report building.

• Good communication skills are needed to interact with internal teams.

• Basic ability to use Unix commands to navigate server environments is required.

• The role requires someone who can analyze various data sets, identify patterns, and interpret results.

• You must be able to maintain datasets and report updates when changes occur in business requirements.

• It is helpful if you can troubleshoot log files to determine the causes of system errors.

• Ability to document results and maintain clear data records is part of the job.

• Analytical thinking will be needed to solve problems in the data pipeline.

• Flexible mindset to work across different data tools and adapt to new ones as required.

• You must hold a bachelor degree in Computer Science, Information Technology, or a related discipline.

• The company values team members who maintain attention to detail in daily work.

• A strong focus on quality and accuracy is expected.

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Additional info

• This job requires working in a blended model which includes both remote workdays and office workdays.

• The position demands collaboration with teams across departments to solve business challenges.

• You will regularly participate in discussions to clarify reporting requirements.

• You may work with large and raw datasets from multiple sources.

• You are expected to review output reports and make corrections when inconsistencies appear.

• The company encourages curiosity and self learning so that you continue growing your technical skills.

• The role has opportunities to learn cloud technologies and data tools used across TransUnion.

• Reports and dashboards that you create may be viewed by senior leadership.

• You will contribute to ensuring that data pipelines work smoothly.

• There will be tasks that involve performance tuning and making processes more efficient.

• You will help document data sources and transformations so that teams have clarity.

• Collaboration with data engineers, analysts, and business users is frequent.

• You will contribute to high priority tasks and business objectives.

• The job supports professional growth and exposure to advanced data analysis practices.

• Ethical data handling and secure data processing is part of the daily workflow.

• You will support the idea of responsible data use.

• You will spend a significant portion of your time accessing company data stored in internal environments.

• Your responsibility includes writing queries that retrieve specific data from structured tables.

• You will examine data quality in detail and raise concerns when inconsistencies appear.

• Queries written should be optimized for performance to support better execution time.

• You will work closely with ETL teams to monitor data loading processes.

• The goal is to ensure the correct flow of information from input to output stage.

• When issues are detected in ETL, you will help in investigating the root cause.

• You will maintain documentation that describes data definitions, calculations, and logic that you apply during analysis.

• During reporting cycles, you may be assigned tasks that include cleaning datasets, merging datasets, and standardizing formats.

• Data sets could originate from several systems, including third party data and internal sources.

• You will help design reporting frameworks that reflect business logic correctly.

• Reports that you create will be used by internal users for decision making.

• You may also maintain recurring dashboards and ensure they stay up to date.

• These dashboards may be updated daily, weekly, or monthly depending on needs.

• You will receive requests from business partners to modify dashboards or include new data elements.

• In such cases, you will adjust your existing reports and validate new outputs.

• You will test your SQL queries to confirm that they fetch correct results.

• You will validate the query outcome by checking counts, comparing segments, and confirming data patterns.

• If mistakes are detected, you will debug the query and adjust logic accordingly.

• Communication will be consistent with cross functional teams to clarify requirements.

• You may need to attend meetings to understand what insights stakeholders expect.

• Once the requirement is clear, you will start extracting relevant data.

• You will convert raw data into meaningful metrics that can be reused.

• Tables could include millions of records so query tuning will be important.

• You may frequently use joins, filters, aggregations, or window functions.

• Understanding query execution plans will be helpful.

• You may also perform data mapping between source tables and target tables.

• Troubleshooting log records will allow you to identify errors during data movement.

• The logs may include error codes, warnings, and patterns that point toward failures.

• You may be required to prepare analysis notes on what you discover.

• You will escalate errors to engineering teams when needed and support them in fixing issues.

• Data analysis may include segment analysis, trend identification, anomaly detection, and categorization.

• You will examine how data changes over time.

• You will identify spikes or drops in business indicators.

• You will check if these changes are due to data quality issues or actual business changes.

• When data issues arise, you will trace the source of that error by checking input systems.

• You will discuss issues with upstream data providers if required.

• Excel sheets and spreadsheets may be used for intermediate calculations.

• You may apply formulas, pivot tables, and lookup functions.

• Chart creation may also be done using Power BI or Tableau.

• When building visualizations you will focus on clarity and accuracy rather than design complexity.

• Visuals must clearly communicate results in an easy to understand manner.

• You will apply filters, slicers, and parameters when needed.

• Data security practices must be followed at all times.

• Sensitive information must not be shared outside approved environments.

• You must enforce access controls and follow data policies.

• Documentation must be updated whenever a reporting process changes.

• Every change should be version controlled.

• You may be assigned time sensitive requests that need quick delivery.

• Managing priorities will be important.

• Having ownership of tasks will be expected.

• You must be able to communicate delays if you face blockers.

• You should be comfortable reading long documents containing requirements and specifications.

• Clear understanding of problem statements will help reduce redesign work later.

• Learning from feedback will help improve your approach for future projects.

• You will interact with team members from technology, business, and analytic functions.

• The role requires balancing technical execution with stakeholder communication.

• Every output should be tested thoroughly before sharing with requesters.

• Validation must be documented so that future members understand what was tested.

• You may be asked to automate manual tasks as you grow.

• Automation may be done through SQL scripts, stored procedures, or reporting tools.

• Improvement suggestions are always welcome.

• Your contributions will support business decisions.

• The outcomes may appear in official business presentations.

• You may gain exposure to advanced analytical tools and cloud based storage.

• Curiosity and learning attitude will help you grow faster in this role.

• There will be knowledge sharing sessions to help team members learn from each other.

• Managers will guide you when challenges arise.

• You will receive feedback regularly to improve your performance.

• The company values effort and responsibility.

• The overall environment encourages teamwork and problem solving.

• Success in this role will depend on attention to detail, consistent delivery, and strong collaboration.

• With time, you will grow into more independent tasks and higher ownership.

• This role offers the opportunity to get exposure to real world enterprise level data analysis.

• The skills learned in this role will build a strong foundation for advanced analytics roles in the future.

Please click here to apply.