People Analytics Manager

At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.

About the Role:

We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.

Key Responsibilities:

• Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
• Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
• Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
• Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
• Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
• Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.

Requirements:

• 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
• Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
• Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
• Ability to collaborate effectively with remote and geographically distributed teams across different time zones.

Company Link: https://www.nineleaps.com/

Company LinkedIn: https://www.linkedin.com/company/nineleaps/

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.

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

Job Summary

We are seeking a skilled and detail-oriented Power BI Developer to design, develop, and maintain enterprise-level BI solutions. The ideal candidate should have strong expertise in Power BI, DAX, SQL, Data Modeling, and performance optimization tools such as DAX Studio, Tabular Editor, and ALM Toolkit. The candidate will collaborate with business stakeholders to transform data into actionable insights and deliver high-quality dashboards and reports.

Key Responsibilities

• Design, develop, and maintain interactive Power BI dashboards and reports.
• Create complex DAX measures, calculated columns, and calculated tables to meet business requirements.
• Develop and optimize SQL queries, stored procedures, views, and ETL processes.
• Design and implement scalable Star Schema and Snowflake Data Models.
• Perform report and model performance tuning using DAX Studio.
• Utilize Tabular Editor for model management, calculation groups, best practice analysis, and metadata enhancements.
• Manage model deployment, comparison, and version control using ALM Toolkit.
• Configure and manage Power BI Workspaces, Apps, Gateways, and Security (RLS/OLS).
• Work extensively with Power BI Service/Web Experience, including dataset refresh schedules, deployment pipelines, subscriptions, and workspace administration.
• Collaborate with business users to gather and analyze reporting requirements.
• Ensure data accuracy, governance, security, and report performance.
• Troubleshoot data-related issues and implement effective solutions.
• Create technical documentation and provide knowledge transfer to support teams.

Required Skills

Technical Skills

• Strong experience in Microsoft Power BI Development.
• Expertise in DAX (Data Analysis Expressions).
• Advanced knowledge of SQL Server/T-SQL and query optimization.
• Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables).
• Hands-on experience with Tabular Editor.
• Experience using DAX Studio for model and query performance tuning.
• Experience with ALM Toolkit for model comparison and deployment.
• Strong understanding of Power BI Service/Web Experience.
• Knowledge of Power Query (M Language).
• Experience with Row-Level Security (RLS) and data governance.
• Understanding of data warehousing and ETL concepts.

Job Title: Power BI Developer

Experience: 4+ Years

Location: Pune, Thane (Maharashtra), Indore (Madhya Pradesh)

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Job Description:

• Develop and maintain database and ETL solutions using Microsoft Fabric.
• Create interactive dashboards and reports using Power BI (preferred).
• Work with Qlik Sense or other data visualization tools.
• Write and optimize SQL queries for data analysis and reporting.
• Collaborate with business teams to understand reporting requirements and deliver data solutions.

Required Skills:

• Microsoft Fabric
• Power BI
• Qlik Sense or any Data Visualization Tool
• SQL
• MySQL

Strong Data Analyst Profile with advanced Excel and SQL expertise

2

Mandatory (Experience 1): Must have 4+ years of overall experience as a hands-on Data Analyst

3

Mandatory (Tech skill 1): Must be highly proficient in advanced Excel — complex functions, macros, calculations, and pivots

4

Mandatory (Tech skill 2): Must have strong hands-on SQL and a good understanding of relational database concepts

5

Mandatory (Tech skill 3): Must be able to automate routine tasks using Python (for automation purposes)

6

Mandatory (Skill 1): Must have exceptional analytical, problem-solving, and logical skills, with strong attention to detail and accuracy

7

Mandatory (Skill 2): Must be able to understand complex data and business logic and convert it into a model (the role models complex utility tariffs, rates, and programs)

8

Mandatory (Communication): Must have strong verbal and written communication, able to work independently with India- and US-based team members and articulate problems and solutions over calls and email.

9

Mandatory (Location): Must be based locally in Pune (or the nearby Maharashtra belt — Mumbai, Nagpur), as the final round is in person

10

Preferred (Domain): Experience in the Energy/Utility industry and familiarity with basic utility (electrical/gas) tariff concepts

Key Responsibilities

• Manage HR projects, including project plans, timelines, milestones, dependencies and deliverables.
• Develop and maintain HR dashboards, calendars and status reports, highlighting risks, delays and key decisions.
• Coordinate project meetings, agendas, action items and follow-ups to ensure timely execution.
• Partner with HR teams, business leaders and external vendors to drive projects forward.
• Prepare clear, executive-ready updates on HR priorities, progress, risks and achievements.
• Lead the planning and coordination of the employee survey, including communications, launch readiness, participation tracking and post-survey action planning.
• Support the planning and rollout of Exol University, including vendor coordination, learning administration, scheduling, communications and change management.
• Coordinate new hire orientation and contribute to creating a consistent and engaging onboarding experience.
• Support recurring People processes such as performance, compensation, benefits, engagement, learning and talent initiatives.
• Identify opportunities to improve HR processes, employee experience and operational efficiency.

Qualifications

• Bachelor’s degree or equivalent relevant experience.
• 6–10 years of experience in HR operations, project/program management, L&D, change management or a related field.
• Strong project management, organizational and stakeholder management skills.
• Ability to manage multiple projects, deadlines, vendors and priorities simultaneously.
• Excellent written and verbal communication skills, with experience preparing presentations and leadership updates.
• Experience in Learning & Development, LMS administration, training coordination or learning program management is strongly preferred.
• Experience with employee surveys, engagement initiatives or organizational change is an advantage.
• Strong proficiency in Microsoft Excel, PowerPoint and project-management/productivity tools.
• Self-driven, detail-oriented and comfortable working in a fast-paced, evolving environment.

We're looking for a proactive and business-oriented HR Business Partner to work closely with leadership and business teams in driving people strategy, employee engagement, performance, and organizational effectiveness. This role requires someone who can balance strategic thinking with operational excellence while fostering a high-performance culture. What You'll Do  Partner with business leaders to understand team goals and translate them into effective people strategies.  Drive the end-to-end employee lifecycle, including onboarding, engagement, performance management, career development, and offboarding.  Act as a trusted advisor to managers on employee relations, performance concerns, coaching, and conflict resolution.  Lead performance review cycles, goal-setting processes, talent reviews, and succession planning.  Analyze people metrics and provide actionable insights to improve retention, productivity, and employee experience.  Drive employee engagement initiatives, culture-building programs, and recognition activities.  Support organizational changes, restructuring, and workforce planning.  Ensure HR policies and practices are consistently implemented while maintaining compliance with labor laws.  Collaborate with Talent Acquisition, L&D, Finance, and leadership to build scalable people processes.  Identify opportunities to automate HR workflows and leverage AI or HR technology to improve efficiency. What We're Looking For  5–7 years of experience in HR Business Partnering, HR Generalist, or People Partner roles.  Experience partnering with technology, product, engineering, or startup teams is highly preferred.  Strong understanding of performance management, employee engagement, talent management, and employee relations.  Ability to influence stakeholders and build strong relationships across all organizational levels.  Excellent communication, coaching, and problem-solving skills.  Strong analytical mindset with experience using HR metrics to drive decisions.  Comfortable working in a fast-paced, high-growth environment.  Familiarity with HRMS platforms and modern HR technologies.  Exposure to AI-powered HR tools or process automation is a plus. Preferred Qualifications  MBA/PGDM in Human Resources or equivalent qualification.  Experience in startup or product-based organizations.  Knowledge of Indian labor laws and HR compliance.  Certification in HR analytics, coaching, or change management is an added advantage. Why Join Us?  Opportunity to partner directly with business leaders and influence organizational growth.  Fast-paced environment with high ownership and learning opportunities.  Collaborative culture focused on innovation, people, and continuous improvement.  Work on strategic HR initiatives that create measurable business impact.

Digital Mold Data Scientist and Manufacturing Analytics Specialist

Job Summary

COAST Systems is seeking a Data Scientist and Manufacturing Analytics Specialist in India to support a global client’s Digital Mold program.

This position will work with large and complex manufacturing, engineering, tooling, maintenance, and quality datasets. The successful candidate will transform fragmented operational data into reliable datasets, dashboards, actionable insights, and continuous-improvement opportunities.

This is a hands-on analytics role requiring close collaboration with engineering, manufacturing, operations, and business stakeholders. The position is particularly suited to someone who can understand a technical manufacturing problem, determine what the data is showing, and communicate practical recommendations that improve performance.

Key Responsibilities

• Collect, prepare, cleanse, normalize, and validate manufacturing and engineering data from multiple sources.
• Establish reliable and repeatable datasets for analytics, reporting, and decision-making.
• Analyze data to identify trends, risks, performance gaps, improvement opportunities, and potential cost savings.
• Develop and maintain dashboards, visualizations, KPI reporting, and business intelligence solutions.
• Analyze maintenance and operational performance using measures such as:
• Mean Time to Repair or MTTR
• Mean Time Between Failures or MTBF
• Overall Equipment Effectiveness or OEE
• Preventive and corrective maintenance performance
• Tool reliability, condition, quality, utilization, and lifecycle indicators
• Work closely with engineering and operations teams to convert technical and operational problems into data-driven solutions.
• Support continuous improvement, operational excellence, and process optimization initiatives.
• Align analyses and recommendations with client goals, priorities, and expected business outcomes.
• Identify relationships among tooling, maintenance, production, quality, sensor, and lifecycle data.
• Present findings clearly to technical and nontechnical stakeholders.
• Help establish consistent data definitions, analytical methods, and reporting standards.
• Support the development of predictive analytics, machine learning, and AI-enabled capabilities where appropriate.
• Learn the COAST software environment and relevant client or third-party systems.
• Help map and connect tool-specific data across systems so that information can be aligned and used consistently.

Required Qualifications

• Bachelor’s or master’s degree in data science, statistics, mathematics, computer science, engineering, operations research, or a related quantitative discipline.
• Strong data science and analytics experience involving large, complex, or multi-source datasets.
• Demonstrated experience with data preparation, cleansing, transformation, normalization, validation, and data-quality management.
• Strong statistical and analytical problem-solving skills.
• Proven experience developing dashboards, data visualizations, KPI reporting, and business intelligence solutions.
• Ability to analyze data and translate findings into clear, practical business or operational recommendations.
• Experience working with technical, engineering, operational, or business stakeholders.
• Strong continuous-improvement and process-optimization mindset.
• Ability to communicate clearly in English with global teams and client stakeholders.
• Ability to work independently, manage priorities, and investigate unclear or incomplete data.
• Strong attention to detail and commitment to data accuracy.

Preferred Qualifications

• Experience analyzing data in a manufacturing, engineering, maintenance, operations, or asset-management environment.
• Understanding of manufacturing equipment, tooling, maintenance, quality, and asset lifecycle concepts.
• Familiarity with MTTR, MTBF, OEE, preventive maintenance, reliability, and related manufacturing KPIs.
• Experience in plastics manufacturing or packaging, including any of the following:
• Injection molding
• Blow molding
• Extrusion blow molding
• Injection stretch blow molding
• Compression molding
• Other polymer-processing operations
• Experience working with cloud-based data platforms or data lake environments.
• Experience combining data from multiple software systems, databases, APIs, files, or vendor platforms.
• Experience with sensor, machine, equipment, IoT, or time-series data.
• Exposure to predictive analytics, machine learning, anomaly detection, forecasting, or AI applications.
• Experience developing analytics that lead to actionable workflows, reduced costs, improved reliability, or reduced manual effort.
• Experience supporting global organizations or working in a client-facing environment.

Technical Skills

Candidates should demonstrate proficiency in several of the following areas:

• SQL
• Python or R
• Statistical analysis
• Data preparation and transformation
• Data validation and data-quality analysis
• Dashboard and visualization development
• Power BI, Tableau, QuickSight, or a comparable BI platform
• Cloud data lakes or cloud analytics environments
• Relational and non-relational data sources
• Advanced Microsoft Excel
• Predictive modeling or machine learning
• API or multi-system data integration

Specific experience with every listed technology is not required. The candidate must, however, have strong foundational analytics skills and the ability to learn unfamiliar platforms and data environments.

Critical Competencies

• Analytical curiosity
• Structured problem-solving
• Systems thinking
• Data accuracy and attention to detail
• Continuous-improvement mindset
• Business and operational awareness
• Clear written and verbal communication
• Cross-functional collaboration
• Client responsiveness
• Adaptability and willingness to learn
• Ability to convert analysis into action

Experience

Approximately 4 to 8 years of relevant professional experience is preferred. Candidates with fewer years may be considered if they demonstrate strong hands-on analytics experience, manufacturing exposure, and the ability to work directly with engineering and operational stakeholders.

What Success Looks Like

The successful candidate will:

• Create trusted and repeatable manufacturing datasets.
• Deliver dashboards and reports that stakeholders actively use.
• Identify meaningful risks, trends, and improvement opportunities.
• Help engineering and operations teams make better decisions from their data.
• Improve the consistency of tool-specific information across systems.
• Progressively develop more advanced predictive and AI-enabled Digital Mold capabilities.
• Produce measurable improvements in reliability, operational performance, cost, and efficiency.

Suggested Key Skills

Data Science, Manufacturing Analytics, Data Analytics, Business Intelligence, Dashboard Development, Data Visualization, Power BI, Tableau, Amazon QuickSight, SQL, Python, R, Statistical Analysis, Data Cleansing, Data Normalization, Data Validation, Data Quality, Manufacturing KPI, OEE, MTTR, MTBF, Predictive Analytics, Machine Learning, Continuous Improvement, Process Optimization, Maintenance Analytics, Reliability Analytics, Cloud Data Lake, Sensor Data, IoT Analytics, Injection Molding, Plastics Manufacturing

Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.

We are seeking a highly skilled and analytically driven Senior Specialist II, HR Technology(Workday Techno-functional consultant) to join our People team. In this role, you will serve as a senior subject matter expert at the intersection of HR systems and people analytics, helping to optimize our HR technology ecosystem while enabling data-driven decision-making across the organization.

While you will bring deep expertise in Workday HCM—our current HR platform—your value extends beyond any single tool. You are an HR technology and people analytics professional who can build scalable reporting and analytics solutions, support workforce planning through data-driven insights, and translate complex workforce data into actionable recommendations for HR and business leaders. You contribute to the development of analytics frameworks and predictive analyses while helping ensure that our people data ecosystem remains scalable, reliable, and adaptable as technology evolves.

You will partner closely with HR, IT, Finance, and business stakeholders to enhance system capabilities, improve data quality, streamline processes, and deliver meaningful workforce insights that support organizational goals.

KEY RESPONSIBILITIES

1. People Analytics & Workforce Insights

• Develop and maintain workforce dashboards, scorecards, and recurring reports that support HR and business decision-making.
• Analyze workforce trends across headcount, attrition, recruiting, diversity, performance, engagement, and employee lifecycle metrics.
• Partner with HR Business Partners, Talent Acquisition, Total Rewards, and business leaders to understand reporting needs and provide actionable insights.
• Build and maintain data visualizations using tools such as Tableau, Power BI, Workday Prism Analytics, or equivalent platforms.
• Support workforce planning, talent reviews, succession planning, and organizational effectiveness initiatives through data analysis and reporting.
• Contribute to the development of people analytics frameworks and predictive analyses that support talent and workforce decisions.
• Ensure consistency, accuracy, and integrity of workforce metrics by adhering to established reporting standards and governance practices.

2. HR Systems Administration (Workday)

• Administer, configure, and maintain Workday HCM modules including Core HR, Recruiting, Talent Management, Compensation, Benefits, Time & Absence, and Helpdesk.
• Configure and support business processes, workflows, notifications, security roles, and system controls in alignment with HR policies and operational requirements.
• Develop and maintain Workday reports, dashboards, calculated fields, and composite reports.
• Support Workday biannual releases by assessing impacts, testing enhancements, and coordinating deployment activities.
• Investigate, troubleshoot, and resolve system issues while ensuring timely communication and resolution for stakeholders.
• Partner with HR Operations and IT teams to continuously optimize system functionality, user experience, and process efficiency.

3. HR Data Governance & Quality

• Maintain high standards of HR data accuracy, completeness, and consistency across HR systems.
• Conduct regular audits and validation activities to identify and resolve data discrepancies.
• Support compliance with internal controls, audit requirements, and applicable data privacy regulations.
• Document reporting definitions, system configurations, business processes, and operating procedures.
• Contribute to the ongoing development and maintenance of HR data governance standards and data quality processes.
• Support efforts to improve trust, transparency, and accessibility of people data across the organization.

4. Systems Integration & Technical Support

• Support integrations between Workday and connected systems including payroll, benefits, talent, learning, and finance platforms.
• Assist with data imports, exports, Enterprise Interface Builder (EIB) processes, and interface monitoring activities.
• Partner with IT teams and external vendors to troubleshoot integration issues and implement system enhancements.
• Participate in testing activities for integrations, system upgrades, new functionality, and process changes.
• Maintain technical documentation, configuration records, and knowledge base materials to support operational continuity.

5. Process Optimization & Stakeholder Enablement

• Identify opportunities to automate manual HR processes and improve operational efficiency through technology solutions.
• Gather business requirements and translate them into scalable system configurations, reports, and process improvements.
• Serve as a trusted resource for HR technology questions, providing guidance and support to stakeholders across the organization.
• Deliver training, user documentation, and knowledge-sharing sessions to improve system adoption and proficiency.
• Participate in HR technology projects, implementations, and continuous improvement initiatives from planning through execution.
• Build strong partnerships with HR, IT, Finance, and business teams to ensure technology solutions align with organizational needs.

QUALIFICATIONS

Experience

• 7+ years of experience in HR Technology, HRIS, People Analytics, or related functions within complex and growing organizations.
• Hands-on experience administering and configuring Workday HCM, including Core HR, Recruiting, Talent Management, Compensation, Benefits, Time & Absence, and related modules.
• Proven experience developing HR reporting, dashboards, workforce analytics, and data-driven insights that support business and talent decisions.
• Experience supporting HR system implementations, enhancements, testing, upgrades, and continuous improvement initiatives.
• Experience working with HR system integrations, data management processes, and vendor-supported technology solutions.
• Demonstrated ability to independently manage complex projects and deliver technical solutions while effectively partnering with cross-functional stakeholders.

Analytics & Technical Skills

• Strong proficiency in Workday Report Writer, calculated fields, dashboards, and reporting capabilities.
• Experience with data visualization platforms such as Tableau, Power BI, Workday Prism Analytics, or equivalent tools.
• Strong analytical and problem-solving skills with the ability to interpret workforce data and communicate findings effectively.
• Working knowledge of SQL and data querying concepts; familiarity with Python or R is a plus.
• Understanding of system integration concepts including APIs, EIBs, SFTP, and data transformation processes.
• Knowledge of HR data structures, reporting methodologies, and data governance best practices.

Domain & Compliance Knowledge

• Strong understanding of core HR processes and employee lifecycle management.
• Knowledge of compensation, recruiting, talent management, workforce planning, and organizational effectiveness concepts.
• Understanding of HR data privacy, security, and compliance requirements including GDPR, CCPA, and applicable local regulations.
• Familiarity with global HR operations and governance practices is preferred.

Soft Skills & Ways of Working

• Strong customer-service orientation with a commitment to delivering high-quality stakeholder support.
• Excellent communication skills with the ability to translate technical concepts into business-friendly language.
• Detail-oriented with a strong focus on accuracy, data quality, and process discipline.
• Highly organized and capable of managing multiple priorities in a fast-paced environment.
• Collaborative team player who builds productive partnerships across functions and levels.
• Demonstrates initiative, ownership, continuous learning, and a passion for process improvement.

WHAT SUCCESS LOOKS LIKE

In your first year, you will establish yourself as a trusted HR technology and people analytics partner across the organization. Stakeholders will rely on your expertise to deliver accurate workforce insights, maintain reliable HR systems, and identify opportunities for process improvement. Reporting capabilities will become more efficient and scalable, data quality will improve, and HR teams will have greater confidence in leveraging technology and analytics to make informed decisions. Through your contributions, the HR technology ecosystem will be better optimized, more user-friendly, and well-positioned to support the organization's growth and evolving business needs.

A Note on Tooling

We currently use Workday as our primary HRIS, and deep Workday expertise is required for this role. However, we value professionals whose strengths extend beyond any single platform. Success in this role requires strong capabilities in HR technology, people analytics, workforce reporting, and process optimization that can adapt as systems and business needs evolve over time.