Data Analyst
OrbiTouch HR (orbiTouch outsourcing pvt ltd)
Hyderabad, Telangana, India
|| Urgent Hiring || Junior Data Analyst || Hyderabad Location ||
Location- Hyderabad
Profile- Junior Data Analyst
Experience- 0–2 Years
Ctc- upto 5 lpa (Depends on interview)
Working days- 5 days (9:30am- 5:30 pm)
Key Responsibilities
- Collect, clean, and organize data from multiple sources (databases, spreadsheets, logs, APIs)
- Perform exploratory data analysis to identify trends, patterns, and anomalies
- Build and maintain dashboards and reports for technical and non-technical stakeholders
- Write SQL queries to extract and aggregate data for analysis
- Support ad-hoc data requests from product, business, and leadership teams
- Document data definitions, assumptions, and analysis methodology
- Validate data quality and flag inconsistencies or errors
- Collaborate with data engineering and data science teams on data pipeline needs
- Present findings clearly to both technical and non-technical audiencesMust-Have Skills
- 0–2 yrs experience in data analysis, analytics, or a related role (internships count)
- SQL: comfortable writing queries, including joins, aggregations, filtering, and subqueries
- Excel/Google Sheets: pivot tables, formulas, data cleaning
- Python or R basics: pandas/NumPy (or equivalent) for data manipulation
- Data visualization: Power BI, Tableau, or similar (or strong Excel/Sheets charting)
- Basic statistics: mean/median/variance, distributions, correlation, hypothesis testing fundamentals
- Strong attention to detail and data accuracy
- Clear written and verbal communication skills
- Willingness to learn and adopt AI tools within an advanced, AI native work ecosystem, including comfort using AI assistedWhat We Expect
- Ask good questions before diving into analysis; understand the "why" behind a request
- Double check your own numbers before sharing results
- Be curious and proactive in spotting data quality issues
- Take feedback well and iterate quickly
- Stay curious about AI native tools and workflows, and actively build fluency in using them for analysis and productivity
- Grow into more independent, complex analytical work over time