Data Analyst

TekFriday Processing Solutions Pvt Ltd; Hyderabad; On-site; INR 700,000 - 1,100,000; Full time

Job summary

TekFriday Processing Solutions Pvt Ltd in Hyderabad is seeking a Data Analyst to transform complex business data into insights that drive strategic decisions across Product, Risk, Operations, and Business teams. You will work with large datasets, build dashboards, automate reporting, and identify trends that improve performance and efficiency.

The ideal candidate has strong SQL skills, hands-on Snowflake experience, and is proficient with BI tools.

Qualifications

• 3–5 years of experience as a Data Analyst or similar role.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, Information Systems, or a related quantitative discipline.
• Strong SQL skills with experience handling large datasets and complex queries.
• Hands-on experience with Snowflake and BI tools for dashboarding.
• Excellent stakeholder management and communication skills.

Responsibilities

• Collect, analyze, and interpret large volumes of data to identify trends and opportunities.
• Translate business questions into analytical solutions and actionable recommendations.
• Develop exploratory data analyses to uncover insights informing strategic decisions.
• Create interactive dashboards and automated reports for KPIs and metrics.
• Collaborate with Product, Risk, Finance, Operations, and Engineering teams to support data-driven decisions.

Skills

SQL

Analytical thinking

Data visualization

Python

Pandas

NumPy

Tableau

Stakeholder management

Education

Bachelor's/Master's degree in a quantitative field

Tools

Snowflake

Tableau

Job description

TekFriday Processing Solutions | Full time

Data Analyst

Seri Lingampally, India | Posted on 07/29/2026

We are looking for a data-drivenand analytical Data Analyst to join our growing Analytics team. In this role,you will transform complex business data into meaningful insights that drivestrategic decisions across Product, Risk, Operations, and Business teams. Youwill work with large datasets, build dashboards, automate reporting, andidentify trends that improve business performance and operational efficiency.

The ideal candidate has strong SQLskills, hands-on experience with Snowflake and BI tools, and is passionateabout solving business problems through data.

What we expect you to perform:

• Collect, analyze, and interpret large volumes ofstructured and unstructured data to identify trends, patterns, and businessopportunities.
• Translate business questions into analyticalsolutions and actionable recommendations.
• Perform exploratory data analysis (EDA) touncover insights that support strategic decision-making.
• Present analytical findings through clearvisualizations and executive-friendly reports.
• Design, build, and maintain interactivedashboards using Tableau (or similar BI platforms).
• Develop automated reports to monitor businessKPIs, operational metrics, and performance trends.
• Ensure reporting accuracy, consistency, andtimely delivery across stakeholders.
• Continuously improve reporting processes throughautomation.
• Write complex SQL queries to extract, transform,and validate data from Snowflake and relational databases.
• Develop reusable datasets and reporting layersfor business users.
• Ensure high-quality, reliable, andwell-documented data assets.
• Work with engineering teams to improve dataavailability and accessibility.
• Analyze customer behaviour, operationalperformance, product usage, and business metrics.
• Support Product, Risk, Finance, and Operationsteams with ad-hoc analysis.
• Identify key business drivers influencinggrowth, retention, productivity, and profitability.
• Recommend process improvements based onanalytical findings.
• Identify anomalies, inconsistencies, and rootcauses of data issues.
• Collaborate with Engineering teams to resolvedata discrepancies.
• Support data governance and documentationinitiatives.
• Automate recurring reports and manual analyticalprocesses using SQL and Python.
• Improve reporting efficiency by developingscalable analytical solutions.
• Support data pipeline validation and analyticalworkflow optimisation.
• Contribute to continuous improvement initiativesacross the analytics function.
• Partner with Product, Engineering, Finance,Operations, and Business teams to understand analytical requirements.
• Communicate technical findings to non-technicalstakeholders in a simple and meaningful manner.
• Participate in requirement gathering, solutiondesign, and business review meetings.
• Support data-driven decision-making across theorganization.

Requirements

What we are looking for:

• 3–5 years of experience as a Data Analyst, orsimilar analytical role.
• Bachelor''s or Master''s degree in ComputerScience, Statistics, Mathematics, Economics, Engineering, Information Systems,or a related quantitative discipline.
• Strong analytical thinking with excellentproblem-solving skills.
• Experience working with large datasets andbusiness reporting.
• Ability to convert business requirements intoanalytical solutions.
• Strong stakeholder management and communicationskills.
• Experience working in fintech, banking, lending,financial services, or technology companies is preferred.
• Strong SQL skills with experience writingcomplex joins, CTEs, window functions, stored procedures, and performanceoptimization.
• Hands-on experience with Snowflake or moderncloud data warehouses.
• Python for data analysis and automation (Pandas,NumPy, Matplotlib, etc.).
• Experience developing reusable analyticalscripts and automating workflows.
• Strong understanding of data modelling, KPIdevelopment, business metrics, and statistical analysis.
• Experience with trend analysis, forecasting,segmentation, and root cause analysis.
• Knowledge of A/B testing and experimentation isan advantage.
• Experience working with ETL processes and datatransformation.
• Understanding of data quality, governance, andvalidation principles.
• Exposure to cloud platforms (AWS preferred) is aplus.

Preferred Skills

• Experience in fintech, digital lending, banking,payments, or financial services.
• Knowledge of customer lifecycle analytics,operational analytics, or business intelligence.
• Familiarity with Git, Jira, and Agiledevelopment methodologies.
• Basic understanding of machine learning conceptsand predictive analytics is an added advantage.
• Experience working with APIs and modern dataecosystems is desirable.