HR Data Analyst at Product company · Remote only · 8 - 14 years · ₹8L - ₹15L / yr · Remote only · Posted 11 Oct 2022

Job Title: HR Data Analyst
Reports To: HR Business Partner
Duties
- Collect and compile HR metrics and data from the global HR team using internal SharePoint site as well as Excel files from local HRIS systems
- Analyze data on a monthly, quarterly, and annual basis regarding recruitment and attrition
- Prepare data reports using Excel and Power Point
- Ensure data integrity by identifying issues and fixing errors either in SharePoint or local HRIS system
- Track recruitment costs on a regional and global basis
- Work closely with Finance team to monitor global recruitment budget costs and new hire/attrition pipeline
- Lead HR data projects, such as data review/audit and mass data changes
- Assist HR team with various data projects, as requested
Required Skills
- Intermediate Microsoft Office skills, including Excel, Power Point and Word
- Strong attention to detail
- Excellent verbal and written communication skills
- Ability to build strong working relationships across different locations and departments
- Strong analytics and problem solving – able to identify anomalies in data and follow up to find an explanation as to why
- Must maintain confidentiality
- Familiarity with Power BI is preferred
Experience
- 8 to 12 years’ experience with data analysis, either in the finance, accounting or HR field
- Bachelor’s degree in any field is preferred

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We're hiring a Data Analyst to turn raw data into clear, actionable insight. You'll partner with product, sales, marketing, and operations teams to answer their most important questions with data — building dashboards, running deep-dive analyses, and defining the metrics the business runs on. The ideal candidate is fluent in SQL, comfortable wrangling messy datasets, and just as strong at telling the story behind the numbers as they are at producing them. You'll own the accuracy and trustworthiness of the reporting stakeholders rely on to make decisions.
Key Responsibilities
- Design, build, and maintain dashboards and recurring reports across business functions
- Write and optimize SQL queries to extract, join, and transform data from multiple sources
- Run ad-hoc and deep-dive analyses to answer specific business questions
- Define, document, and standardize metrics and KPIs alongside stakeholders
- Investigate data-quality issues and ensure the numbers people see are accurate
- Translate analysis into clear recommendations and present them to non-technical audiences
- Support experimentation and A/B test analysis where relevant
- Automate repetitive reporting to free up time for higher-value analysis
Requirements
- 3+ years in a data analyst or business-intelligence role
- Strong SQL and hands-on experience with Power BI and/or Tableau
- Working knowledge of Python (pandas/numpy) for analysis
- Solid grounding in statistics and analytical methods
- Advanced Excel and strong data-visualization / storytelling skills
- Ability to work independently with stakeholders across functions
Nice to have
- Experience with cloud data warehouses (BigQuery, Snowflake, Redshift)
- Exposure to dbt or other ETL/transformation tooling
Key Responsibilities
- Collect, consolidate and manage data from various internal systems, SaaS platforms, CRM/ERP modules, logs, and databases.
- Generate daily, weekly, monthly, and ad-hoc MIS reports and dashboards for operations, sales, finance, customer-support or other relevant teams.
- Use advanced Excel to build, maintain, and manage complex spreadsheets — including pivot tables, VLOOKUP / HLOOKUP / INDEX-MATCH, SUMIF/COUNTIF, conditional formatting, charts/graphs, macros/VBA (if needed) to automate routine reporting tasks.
- Validate and clean data — ensure data integrity, consistency; identify and rectify discrepancies or anomalies.
- Collaborate with cross-functional teams (product, operations, support, finance, sales) to understand their data/reporting needs and deliver appropriate reports/insights.
- Provide ad-hoc data analysis or custom reporting as required by management or US stakeholders.
- Maintain documentation of reporting processes, data definitions/SOPs, report templates, and standard workflows.
- Ensure timely delivery of reports — especially considering night-shift schedule — so that US-based stakeholders receive data at start of their business day.
- Identify opportunities for process improvement and automation to make MIS reporting more efficient and reliable.
Required Skills & Qualifications
- Bachelor’s degree (in IT, Computer Science, Business, Statistics, or related field) or equivalent.
- Strong proficiency in Microsoft Excel — including advanced formulas/functions (VLOOKUP/HLOOKUP/INDEX-MATCH), pivot tables, charts/graphs, conditional formatting, data cleaning, data validation.
- Ability to build and maintain dashboards/reports; comfortable using Excel for recurring and ad-hoc reports.
- Strong analytical and problem-solving skills; ability to work with large datasets, identify trends, anomalies, and draw insights.
- Good communication skills — ability to coordinate with different teams/stakeholders, understand requirements, and present data/insights clearly.
- Readiness for night-shift work from office; ability to work independently, meet deadlines and manage time effectively.
This role will be permanent with NAM info and deploy to client location Hyderabad & Pune.
Work Mode: WORK FROM OFFICE
Role Descriptions:
- Perform detailed data analysis and support business decision-making
- Gather and document business requirements and translate them into technical specifications
- Work closely with stakeholders to define data needs and reporting requirements
- Create user stories, functional specifications, and support UAT activities
- Ensure alignment between business objectives and data solutions
Required Skills:
- Strong expertise in SQL and data querying
- Proven experience in data analysis, requirement gathering, and stakeholder management
- Ability to translate business requirements into technical solutions and user stories
- Good understanding of data models, reporting, and analytics concepts
Skills: Business Analysis~ORACLE SQL
Locations: ~HYDERABAD~PUNE~
Desire candidate
- Candidate should have valid PF.
About Us
Corporate Web Solutions provides technology-driven solutions involving data analysis, automation, web development, and digital transformation.
Role Overview
As a Data Analyst Intern, you'll assist in analyzing datasets, preparing reports, identifying trends, and exploring AI-assisted analytics workflows.
Key Responsibilities
- Collect and organize data.
- Analyze datasets and identify trends.
- Prepare reports and visualizations.
- Work with Excel, spreadsheets, or analytical tools.
- Assist with dashboards and data-driven insights.
- Explore AI tools for data analysis.
Requirements
- Basic understanding of data analysis.
- Familiarity with Excel or Google Sheets.
- Basic knowledge of SQL or Python is a plus.
- Analytical mindset.
- Good attention to detail.
Perks
- Certificate of Internship
- Flexible work hours
- Mentorship and real project exposure
- Potential for PPO
- Letter of Recommendation
- Performance-Based Stipend available up to ₹18,000/month
We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to identify trends, generate insights, and support business decision-making.
The candidate should be comfortable working with large datasets, creating reports and dashboards, and communicating findings clearly to business stakeholders.
Key Responsibilities
- Collect, clean, organize, and analyze data from multiple sources.
- Identify trends, patterns, anomalies, and business opportunities from data.
- Create dashboards, reports, and visualizations for business teams.
- Track and report key performance indicators (KPIs).
- Perform ad-hoc analysis to support business and management decisions.
- Develop and maintain automated reports where possible.
- Work with stakeholders to understand reporting and analytical requirements.
- Ensure data accuracy, consistency, and quality.
- Present analytical findings in a clear and actionable manner.
- Maintain documentation for reports, dashboards, and data processes.






