Business Analyst, Revenue Operation

Pentair; Dadri; Hybrid; INR 900,000 - 1,600,000; Full time

Job summary

Pentair in India is seeking a seasoned Data Analytics professional to perform data gathering, management, predictive modeling, and statistical analysis to uncover meaningful business insights that drive informed decisions and measurable outcomes.

You will build analytical research plans, explore data with R/Python/SPSS, and create Power BI/Excel reports. The role includes forecasting, automation, and cross-functional collaboration across business units.

Qualifications

• Bachelor's degree required in a technical field.
• Master's degree preferred but not required.
• 5+ years of analytical work experience required.
• Knowledge of statistical analysis and analytics tools required.

Responsibilities

• Perform diverse data analytics activities, including data gathering and management, predictive modeling, and statistical analysis.
• Build solid analytical research plans recommending ideal data models based on business goals and data availability.
• Conduct exploratory analyses using R, Python, or SPSS to identify statistically meaningful insights.
• Generate insights and stories with PowerBI, PowerPoint or Excel dashboards.
• Develop forecasting models for multiple business units and collaborate with internal client teams.
• Develop automation processes from data analysis to visualization for frequent deliverables.
• Gather and analyze structured and unstructured data for in-depth market/customer analysis.

Skills

Analytical tools

Predictive modeling

Data visualization

Statistical analysis

Cross-functional

Excel advanced

Education

Bachelor's in statistics/data science/math

Master's preferred

Tools

SAS/SPSS

R

Python

Tableau

PowerBI

Job description

KNOWLEDGE, SKILLS & ABILITIES: PRIMARY OBJECTIVE OF POSITION:

Perform diverse data analytics activities, including data gathering and management, predictive modeling, and statistical analysis, to uncover meaningful business insights that enable informed decision-making, drive stakeholder action, and improve business outcomes.

JOB RESPONSIBILITIES:

Data Analytics

• Build solid analytical research plans recommending ideal data models based on good understanding of business goals and data availability
• Conduct various exploratory analyses of primary and secondary data using analytical tools such as R, Python, or SPSS to identify statistically meaningful insights
• Generate insightful stories after uncovering meaningful patterns from available data with easy-to-understand summary of findings in PowerBI, PowerPoint or Excel

Database Development & Management

• Develop and manage external market indicator database for diverse business dashboards & analyses
• Drive improvement and standardization across the company in knowledge base, processes, analysis, and data presentation
• Build and manage database of internal tracking research data

Business Forecasting & Reporting

• Develop forecasting models for multiple business units, collaborating with internal client teams on data retrieval and model development
• Continuously enhance the forecasting models by exploring further external and internal data and new model designs
• Develop effective report designs and continuously improve them for internal users

Process Automation for Data Processing & Visualization

• Develop automation process from data analysis to visualization for frequently produced deliverables
• Develop repeatable process and decision-support tools that translate analytical insights into recommended actions, establish stakeholder ownership, and measure business outcomes

Other Responsibilities

• Perform data cleaning, analysis, and presentation design for other ad hoc analysis
• Gather and analyze various types of structured and unstructured data to enable in-depth market/customer analysis.

EDUCATION & EXPERIENCE:

• Bachelors degree in a technical field (e.g. statistics, data science, mathematics or related) is required
• Masters degree in a technical field (e.g. statistics, data science, mathematics or related) is preferred, but not required
• 5+ years of analytical work experience required
• Knowledge of statistical analysis and analytics tools required.

KNOWLEDGE, SKILLS & ABILITIES:

• Proficiency with analytical tools (e.g. SAS/SPSS, R, Python, Tableau, PowerBI, etc.)
• In-depth knowledge of analytical models (e.g. predictive modeling, decision tree, etc.)
• Experiences in database management preferred
• Experiences in text analytics preferred
• MS Excel / PowerPoint Advanced analysis, reporting, formatting, data manipulation and presentation
• Ability to communicate analytical results in a clear and understandable manner utilizing methods appropriate to various forums
• Effective working cross functionally in a geographically dispersed global organization
• Achievement-oriented and willing to put forth a high level of effort to produce results in a fast-paced environment
• Ability to effectively adapt to or initiate change
• Comprehensive verbal and written communication skills
• Manages ad-hoc request queue and effectively prioritizes work based on business value.

Accountability - Time - Priority

Market data management,----- 40% A

analysis and visualization for regular deliverables

Ad hoc analytics projects--------40% A

Predictive analytics/business forecasting -----20%------ B

WORKING CONDITIONS: Must be able to perform the essential functions of the job .

Much of the work will be in a normal office environment. The ability to clearly and comfortably view, interpret and process information via a computer monitor for extended periods of time during normal working hours is required. Some assignments will require extended periods in another plant/office location domestically. Some international travel may be required.