Data Analyst - Audience Analytics

Anblicks Solutions; Hyderabad; Presencial; INR 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Anblicks Solutions in Hyderabad, India is seeking a Data Analyst - Audience Analytics with 4+ years of experience to validate audience data products and optimise quality and coverage. You will analyze large client/vendor datasets, assess data connectivity, and collaborate across Product, Engineering, and Data Science teams to drive actionable insights.

The role requires strong SQL and Python or R skills, a keen eye for detail, and experience in audience analytics, identity resolution, and

Formación

• 4+ years of experience in data analytics, data quality, validation, or related analytical roles.
• Strong proficiency in SQL with complex queries, joins, and data profiling.
• Hands-on experience with Python or R for data analysis and statistical evaluation.
• Experience in exploratory data analysis and data quality assessment.
• Excellent communication and ability to collaborate with cross-functional teams.

Responsabilidades

• Analyze audience files, crosswalks, and client/vendor datasets to identify anomalies and incorrect associations.
• Investigate false positives/false negatives and other data matching quality indicators.
• Validate audience outputs, matching behavior, and data connectivity across real-world scenarios.
• Use SQL and Python to query, process, and analyze large datasets.
• Create and maintain benchmarking datasets and test data for validation and regression analysis.
• Perform exploratory analyses to uncover patterns and opportunities for data quality improvements.
• Collaborate with Product, Engineering, and Data Science teams to improve matching accuracy and data coverage.
• Document findings, insights, and recommendations for stakeholders.

Conocimientos

SQL

Python/R

Data quality assessment

Data validation

Exploratory data analysis

Statistical analysis

Communication skills

Cross-functional collaboration

Educación

Bachelor's degree in Analytics/Data Science/Statistics/Math/CS

Descripción del empleo

Job Role: Data Analyst - Audience Analytics

Location: Hyderabad, India

Experience: 4+ Years

About Anblicks

Anblicks is a Great Place to Work Certified Data and AI company helping enterprises unlock the power of data through modern data platforms, cloud technologies, and advanced analytics.

We partner with leading technology providers to deliver scalable, data-driven solutions that enable intelligent enterprises.

Role Overview

We are looking for a skilled Data Analyst - Audience Analytics with strong expertise in SQL, Python, data quality, and statistical analysis to support the validation, measurement, and optimisation of audience data products.

In this role, you will analyse large-scale client and vendor datasets, validate audience outputs and data connectivity, investigate matching inaccuracies, and identify opportunities to improve audience quality and coverage. You will collaborate with Product, Engineering, and Data Science teams to evaluate product performance, develop benchmarking datasets, and deliver actionable insights that support continuous product improvement.

The ideal candidate has strong analytical and problem-solving skills, exceptional attention to detail, and an interest in audience analytics, identity resolution, and data-driven marketing technology.

Key Responsibilities

• Audience Data Analysis: Analyse audience files, internal crosswalks, and client/vendor datasets to identify fragmented connections, anomalous records, and incorrect person or household associations.
• Data Quality & Match Assessment: Investigate and quantify false positives, false negatives, and other data matching quality indicators.
• Validation & Testing: Validate audience outputs, matching behaviour, and data connectivity across real-world business scenarios and use cases.
• SQL & Python Analytics: Use SQL and Python or R to query, process, profile, and analyse large and complex datasets.
• Benchmarking & Test Data: Create, maintain, and enhance datasets for testing, validation, benchmarking, and regression analysis.
• Exploratory Data Analysis: Perform detailed and ad hoc analyses to uncover patterns, anomalies, trends, and opportunities for improving audience data quality.
• Audience Optimization: Partner with Product and Engineering teams to improve matching accuracy, audience connectivity, data coverage, and overall product performance.
• Statistical Analysis: Apply appropriate analytical methods and quality metrics to evaluate audience matching effectiveness and data reliability.
• Reporting & Insights: Prepare reports and document findings, recommendations, quality trends, and performance insights for technical and business stakeholders.
• Cross-Functional Collaboration: Support the Lead Data Scientist and collaborate with Product, Engineering, and Data Science teams on validation, testing, and research initiatives.
• Continuous Improvement: Contribute to testing backlogs, validation workflows, quality monitoring, and measurement processes to improve audience product adoption and reliability.

Required Skills & Qualifications

• Bachelors degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 4+ years of experience in data analytics, data quality, data validation, or a related analytical role.
• Strong proficiency in SQL, including complex queries, joins, aggregations, data profiling, and analysis of large datasets.
• Hands-on experience with Python or R for data analysis, data manipulation, and statistical evaluation.
• Strong understanding of data quality assessment, validation methodologies, and exploratory data analysis.
• Experience identifying anomalies, duplicates, inconsistencies, and patterns across complex datasets.
• Knowledge of statistical analysis and data-driven problem-solving techniques.
• Strong analytical thinking, attention to detail, and the ability to translate findings into actionable recommendations.
• Excellent communication skills and the ability to collaborate with cross-functional technical and business teams.

Preferred Qualifications

• Experience in audience analytics, audience generation, identity resolution, entity matching, or customer identity data.
• Familiarity with audience data products, data crosswalks, identity mapping, and person-level or household-level data relationships.
• Experience working with large-scale, data-intensive platforms and complex client/vendor datasets.
• Understanding of match-quality measurement, including false-positive and false-negative analysis.Experience creating benchmarking datasets, test scenarios, and regression testing workflows.
• Exposure to Customer Data Platforms (CDPs), MarTech, AdTech, audience intelligence, or digital marketing ecosystems.
• Familiarity with cloud-based data platforms such as Snowflake, Databricks, or equivalent technologies.

What Makes You a Good Fit

• You enjoy investigating complex datasets and identifying meaningful patterns and data quality issues.
• You can use SQL, Python, and statistical techniques to validate data and measure product effectiveness.
• You have a structured approach to problem-solving and can convert analytical findings into measurable improvements.
• You work effectively with cross-functional teams to enhance data accuracy, connectivity, and product performance.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.