Senior Specialist, People Analytics

Rakuten Symphony · Telecom

RSIN_Bangalore
On-site
Posted today
Apply by 30 Oct
HR & Talent

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About the job

Job Description:

The HR People Analytics professional will leverage data and analytics to generate

actionable insights across the employee lifecycle. This role partners closely with HR

Business Partners, COEs, and leadership to drive evidence-based workforce decisions

related to hiring, engagement, performance, retention and HR process automation.

Key Responsibilities

People Analytics & Insights

Design, develop, and maintain HR dashboards and reports covering:

o Workforce demographics

o Attrition & retention

o Hiring & time-to-fill

o Performance & productivity

o Engagement & employee experience

Translate complex HR data into clear insights and recommendations for senior

leadership.

Conduct predictive and diagnostic analyses (e.g., attrition risk, flight risk modeling).

Data Engineering, Systems & AutomationExtract, connect, transform, and

validate data from multiple systems such as HRIS, ATS, LMS, PMS, and other

business platforms.

Build and improve data pipelines, reporting layers, and automated workflows that

reduce manual reporting effort.

Partner with HRIS, IT, and data teams to improve integrations, system connectivity,

data availability, and reporting architecture.

Support testing, validation, and change management related to people data

systems and reporting enhancements.

Identify opportunities to streamline workflows using tools such as Monday.com,

SharePoint, Slack, Teams, and other collaboration or automation platforms.

Data Quality & Governance

Ensure accuracy, integrity, consistency, and usability of workforce data across

systems and reports.

Define, maintain, and document key metrics, business rules, data definitions,

and reporting standards.

Establish scalable reporting practices that support consistency and self

service analytics.

Handle sensitive employee data with strong confidentiality, ethics, and

appropriate controls.

Advanced Analytics & Insight Generation

Build visualizations using tools such as Power BI, Tableau, or Excel.

Leverage SQL, Python, or R (preferred) for deeper data analysis and automation.

Perform trend analysis, segmentation, root-cause analysis, and other

diagnostic analytics to support workforce decisions.

Apply statistical methods and analytical techniques to identify patterns and

opportunities in people data.

Support development of predictive or scenario-based analytics such as

attrition risk, hiring funnel analysis, workforce planning, or organizational

effectiveness studies.

Use storytelling and visualization to improve adoption of analytics in decision

making.

Stakeholder Partnership & Enablement

Collaborate with HR Business Partners, COEs, HRIS, and leadership to

understand reporting needs and deliver practical analytics solutions.

Act as a translator between business needs and technical execution.

Enable greater self-service analytics and data literacy within HR by building

intuitive outputs and scalable processes.

Explore and implement AI-enabled workflows, prompts, agents, or productivity

tools to improve analytics efficiency and accessibility.

Required Qualifications

Education

Bachelors degree in Analytics, Statistics, Mathematics, Psychology, HR, Business,

or related field

Master’s degree (MBA / MS / M.Sc.) preferred

Experience & Skills

3+ years of experience in analytics, business intelligence, data reporting, analytics

engineering, or a related data-focused roleStrong experience building dashboards

and reporting solutions using tools such as Power BI, Tableau, Looker, or similar

platforms

Strong SQL skills and ability to independently extract, structure, and analyze data

from source systems

Experience working with multiple data sources and building reliable reporting

logic across systems

Build AI prompts, skills, and agents (e.g., using Rakuten AI, Claude, Cowork,

Copilot) to enable an agile, scalable data analytics (self-service) environment for

the HR team.

Preferred Skills

Experience with Python, R, or similar tools for analysis, automation, or modeling

Experience with workflow automation, data connectors, APIs, or low-code/no

code tools

Exposure to HR, workforce, or people-related datasets is helpful but not required

Experience supporting reporting or analytics in a cross-functional or enterprise

environment

Familiarity with systems such as Workday, SuccessFactors, Oracle, SAP,

Darwinbox, ATS, LMS, or performance systems is a plus

Exposure to predictive analytics, statistical modeling, or forecasting

Experience using AI tools to improve reporting, analysis, documentation, or self

service enablement

Key Competencies

Data-driven thinking

Technical problem-solving

Business translation

Attention to detail

Stakeholder management

Curiosity and learning agility

Confidentiality and ethical data handling

Influencing without authority

Success Measures

Improved reliability, quality, and timeliness of people reporting and insights

Increased adoption of dashboards and analytics by HR and leadership

Reduced manual effort through better automation, system connections, and self

service reporting

Better workforce decision-making supported by clear, trusted data

High stakeholder satisfaction with analytics support and delivery

What We Are Looking For

A technically strong analytics professional who enjoys building from raw data to

insight

Someone comfortable working across reporting, dashboards, definitions,

automation, and stakeholder requests

A person who can learn the HR domain quickly, without needing to come in as an HR

subject matter expert

Someone who can bring structure, rigor, and scalability to pe

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