Business Data Analyst
Analyzes operational data for Pearce's telecom business unit: identifies trends, builds and maintains interactive Power BI dashboards, integrates data across Power BI, Salesforce, and Excel, and documents/automates processes to improve efficiency. Core tools: Excel, Power BI, Salesforce, Python, Power Automate.
- Compensation
- ₹600K–₹1M / yr
- Location
- Mohali; Hyderabad; Gurugram
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor's degree in Business Administration, Finance, Economics, Engineering or related field
- 5+ years experience as Business Data Analyst, Technical Data Analyst, or related role
- Proven expertise in Excel, including operational metrics tracking and financial modelling
- Proven expertise in Power BI, including building dashboards and linking internal and external data sources
- Proven expertise in Salesforce or other work management tools
- Proven expertise in Python scripting
- Excellent problem-solving skills, attention to detail, and commitment to accuracy
- Exceptional communication and interpersonal abilities, collaborating across departments
Nice to have
- Experience in Power Automate and CoPilot
Full description
Job Description Business Data Analyst
Location: Mohali/Gurugram/Hyderabad
Experience: 5+ Years
Job Summary
Your Impact: Pearce seeks a highly skilled Business Data Analyst with extensive process, data, and project management experience. This opportunity is ideal for those passionate about delving into data, crafting intricate solutions, and seeing their insights influence real-world decisions. This role is pivotal to our upcoming and ongoing projects that demand meticulous prediction, analysis, and management of operational efficiency improvement programs in our telecommunication business unit. The perfect candidate will possess process analysis, workflow documentation, process automation, and data analytics expertise. If you are a problem-solver with a keen eye for detail and a passion for generating solutions, we would love to hear from you.
Core Responsibilities:
- Data Analysis: Analyse data to identify trends, patterns, and correlations. Develop and maintain data visualizations and dashboards. Support efforts to integrate data seamlessly between our internal systems, including Power BI, Salesforce, and Excel, improving data handling and analysis efficiency.
- Strategy and Optimization: Work closely with the innovation and optimization team to develop and refine analytical approaches that support the company’s strategic goals. Conduct scenario analysis to forecast outcomes of different strategic options, providing critical insights for decision-making.
- Process optimization: Work with the business to break down complex processes, highlight pain points, and implement solutions with cross-functional teams.
- Collaboration and Support: Serve as a subject matter expert in process mapping, Excel, and Power BI, offering training and support to team members to elevate the organization’s analytical capability. Build, maintain, and enhance interactive Power BI dashboards and reports to support business decision-making.
- Work with cross-functional teams to define business metrics, KPIs, and reporting standards.
- Develop insights on potential growth, optimization, and improvement areas using business strategies.
- Specific duties may vary or evolve based on business and client needs
Core Experience
- Bachelor’s degree in business administration, Finance, Economics, Engineering or related field.
- Proven experience (5+ years) in Business Data Analyst, Technical Data Analyst, or related roles, with a track record of driving operational excellence and achieving results.
- Proven expertise in Excel, including operational metrics tracking and financial modelling.
- Proven expertise in Power BI, including building dashboards and linking internal and external data sources.
- Proven expertise in Salesforce or other work management tools, including the ability to transform complex data sets into strategic insights and actionable recommendations.