The Role
Analyze, clean, transform, and interpret data from multiple sources to identify trends and actionable insights. Build and maintain SQL queries, dashboards, reports, and visualizations for business and operational metrics. Support KPI definition, exploratory analysis, anomaly investigation, reporting automation, and data-quality initiatives while collaborating with business, engineering, and technical stakeholders.
Summary Generated by Built In
Position: Data Analyst (0–2 Years Experience)
Working Days: 6 Days
Location: Gurugram
Job SummaryWe are looking for a motivated and analytical Junior Data Analyst to join our team. The ideal candidate should have strong proficiency in SQL, good working knowledge of Python (particularly Pandas and NumPy), and a basic understanding of data visualization, statistics, and data analysis concepts. The candidate will work with business and technical stakeholders to analyze data, build reports and dashboards, and generate actionable insights to support business decision-making.
Key Responsibilities- Work with business and technical stakeholders to understand data requirements and translate business questions into actionable analysis.
- Collect, clean, transform, and analyze data from multiple sources to identify trends, patterns, and business insights.
- Create and maintain dashboards, reports, and visualizations to track key business and operational metrics.
- Perform exploratory data analysis and investigate data anomalies, inconsistencies, and trends.
- Develop and maintain SQL queries for extracting and analyzing data from databases and data warehouses.
- Support senior analysts and business teams in defining KPIs, preparing analysis, and presenting data-driven insights.
- Automate recurring reports and analytical processes wherever possible to improve efficiency and accuracy.
- Collaborate with data engineering and software engineering teams to understand data pipelines, data sources, and data quality issues.
- Document analysis, methodologies, data definitions, and key findings to ensure consistency and knowledge sharing.
- Continually explore new data sources, analytical tools, and techniques to improve reporting and decision-making capabilities.
- 0–2 years of hands-on experience in data analytics, business intelligence, or a related analytical role. Freshers with strong analytical and technical skills may also be considered.
- Strong proficiency in SQL and a good understanding of relational databases.
- Good working knowledge of Python, particularly Pandas and NumPy, for data analysis.
- Familiarity with data visualization and dashboarding tools such as Power BI, Tableau, or similar platforms.
- Basic understanding of statistics, data analysis concepts, and common analytical techniques.
- Strong analytical and problem-solving skills, with the ability to break down business problems into structured analytical approaches.
- Good understanding of data cleaning, data validation, and data quality concepts.
- Strong attention to detail and ability to work with large and complex datasets.
- Good communication skills, with the ability to explain analytical findings and insights to both technical and non-technical stakeholders.
- Self-motivated, curious, and willing to learn new technologies, tools, and analytical techniques.
- Experience with automating recurring reports and analytical processes.
- Exposure to data warehouses, data pipelines, and data quality monitoring.
- Familiarity with advanced SQL concepts such as CTEs, window functions, and query optimization.
- Experience working with large datasets and performing exploratory data analysis.
- Exposure to Agile/Scrum development environments.
- Technology-driven mindset with an interest in emerging trends in data, analytics, and digital technologies.
Skills Required
- 0–2 years of hands-on experience in data analytics, business intelligence, or a related analytical role; freshers may be considered
- Strong proficiency in SQL and understanding of relational databases
- Working knowledge of Python, particularly Pandas and NumPy
- Familiarity with data visualization and dashboarding tools such as Power BI or Tableau
- Basic understanding of statistics, data analysis concepts, and analytical techniques
- Strong analytical and problem-solving skills
- Understanding of data cleaning, data validation, and data quality concepts
- Ability to work with large and complex datasets with strong attention to detail
- Good communication skills for explaining findings to technical and non-technical stakeholders
- Experience automating recurring reports and analytical processes
- Exposure to data warehouses, data pipelines, and data quality monitoring
- Familiarity with advanced SQL concepts, including CTEs, window functions, and query optimization
- Experience with large datasets and exploratory data analysis
- Exposure to Agile/Scrum development environments
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The Company
What We Do
Infinite Locus is an integrated brand, growth, and technology partner that works with businesses from strategy through execution. Its services span brand strategy and design, content and social media, performance marketing, SEO, CRO and CRM, alongside full-stack development, ERP and supply-chain systems, data intelligence, demand forecasting, AI, and automation. The company emphasizes tailored solutions, accountable delivery, and measurable business outcomes rather than handing strategy and execution to separate providers.
