Data Analyst

About SuperLabs

SuperLabs is an engineering & IT consulting firm. To know more about SuperLabs & the work we do, visit https://superlabs.co/

About the Role

We are looking for a Data Analyst who can handle data-related requirements end to end — from identifying and collecting data from various sources to data analysis, reporting, and generating actionable business insights.

The ideal candidate should have strong hands-on experience with SQL, relational databases, data cleaning, data transformation, reporting, and BI tools, along with the ability to independently manage the complete data lifecycle.

Key Responsibilities

• Identify, understand, and work with data from multiple sources such as relational databases, APIs, application/product databases, spreadsheets, CSV files, third-party platforms, and other business systems.
• Extract, clean, transform, validate, and consolidate data from different sources.
• Work extensively with relational databases and write efficient SQL queries.
• Understand data structures, relationships, schemas, and data flows across different systems.
• Perform data quality checks, reconciliation, and identify inconsistencies or gaps in source data.
• Build and maintain reports, dashboards, KPIs, and analytical models.
• Analyze business, customer, product, operational, and transactional data to identify trends, patterns, and opportunities.
• Work with stakeholders to understand requirements and translate them into data-driven solutions.
• Perform ad-hoc analysis and root-cause analysis for business and data-related issues.
• Automate repetitive reporting and data-processing tasks wherever possible.
• Collaborate with engineering, product, business, and operations teams on data requirements.
• Maintain documentation around data sources, datasets, metrics, queries, and reporting processes.

Required Skills

• Strong SQL skills with hands-on experience working with relational databases such as MySQL, PostgreSQL, SQL Server, or similar.
• Good understanding of data sources, data integration, data modelling, ETL/ELT, and data pipelines.
• Strong knowledge of data cleaning, transformation, validation, and analysis.
• Proficiency in Microsoft Excel / Google Sheets.
• Experience with BI tools such as Power BI, Tableau, Looker, Metabase, or similar.
• Understanding of basic statistics and analytical techniques.
• Strong analytical, problem-solving, and communication skills.
• Ability to independently manage the complete data lifecycle, from source identification to actionable insights.

Good to Have

• Knowledge of Python for data analysis, including Pandas, NumPy, etc.
• Experience working with APIs and JSON data.
• Experience with cloud data warehouses such as BigQuery, Snowflake, or Amazon Redshift.
• Exposure to product, customer, marketing, or business analytics.

What We’re Looking For

• Strong ownership and ability to work independently.
• A structured and analytical approach to solving data-related problems.
• Ability to work with both technical and non-technical stakeholders.
• Strong attention to data accuracy and quality.
• Ability to convert raw data into meaningful insights that support business decisions.

Share your Resume to apply@superlabs.co

Contact : 7448835183

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