Data Analyst | Offshore
India Full-time Mid-level Data Analysis & BI
At a glance
Mid-level Data Analysis & BI role at Fa Ertb Saasfaprod1. India · full-time.
Pay not stated Data Analyst salary
RoleData Analysis & BI
SeniorityMid-level
LocationIndia
EmploymentFull-time
PostedSep 30, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Analyze structured and unstructured data to surface trends, patterns and useful business findings
- Build and maintain dashboards, reports and visualizations with Power BI, Tableau or comparable tools
- Use SQL to retrieve, reshape and examine data, then check it for accuracy and consistency
- Work with business and technical teams to turn requirements into analysis, KPIs and performance measures
- Share findings with stakeholders and handle process-improvement work and one-off analysis requests
What you bring
- You have at least three years in data analysis or business intelligence
- You hold a bachelor's degree in a listed quantitative, technical or business field, or a related discipline
- You are proficient in SQL and data manipulation, and have used Excel plus BI or visualization tools
- You have worked with relational databases and large datasets
Who this fits
This mid-level role suits someone who can combine hands-on data work with clear communication of findings. The position is listed as offshore in India.
From the employer
Job Description – Data Analyst Position Overview
We are looking for a Data Analyst to collect, analyze, and interpret data to support business and operational decision-making. The role involves working with large datasets, developing dashboards and reports, and translating data into actionable insights.
Key Responsibilities- Analyze and interpret structured and unstructured data to identify trends, patterns, and business insights.
- Develop and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or similar tools.
- Write efficient SQL queries for data extraction, transformation, and analysis.
- Perform data cleansing, validation, reconciliation, and quality checks.
- Collaborate with business and technical teams to understand requirements and translate them into analytical solutions.
- Define and track KPIs and metrics to support business performance analysis.
- Present findings and recommendations to stakeholders in a clear and concise manner.
- Support data-driven process improvements and ad-hoc analytical requests.
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Business Analytics, or a related field.
- 3+ years of experience in data analysis or business intelligence.
- Strong proficiency in SQL and data manipulation.
- Experience with Excel and BI/visualization tools such as Power BI or Tableau.
- Strong analytical, problem-solving, and communication skills.
- Experience working with relational databases and large datasets.
- Experience with Python for data analysis and automation.
- Knowledge of ETL/data pipelines and data warehousing concepts.
- Familiarity with cloud data platforms such as AWS, Azure, or GCP.
- Exposure to statistical analysis, forecasting, or machine learning concepts.
- Experience working in Agile environments.
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