Senior Business Data Analyst

We’re looking for a dynamic and driven Data Analyst to join our team of technology enthusiasts. This role is crucial in transforming data into insights that support strategic decision-making and innovation within the insurance technology (InsurTech) space. If you’re passionate about working with data, understanding systems, and delivering value through analytics, we’d love to hear from you.

What We’re Looking For

• Proven experience working as a Data Analyst or in a similar analytical role
• 5+ Years of experience in the field
• Strong command of SQL for querying and manipulating relational databases
• Experience with Power BI for building impactful dashboards and reports
• Familiarity with QlikView and Qlik Sense is a plus
• Ability to communicate findings clearly to technical and non-technical stakeholders
• Knowledge of Python or R for data manipulation is nice to have
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• Understanding of the insurance industry or InsurTech is a strong advantage

What You’ll Be Doing:

• Delivering timely and insightful reports to support strategic decision-making
• Working extensively with Policy Administration System (PAS) data to uncover patterns and trends
• Ensuring data accuracy and consistency across reports and systems
• Collaborating with clients, underwriters, and brokers to translate business needs into data solutions
• Organizing and structuring datasets, contributing to data engineering workflows and pipelines
• Producing analytics to support business development and market strategy

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.

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.

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

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/

Business Intelligence Analyst - 2

Planview is the world leader in enterprise software planning for enterprise-wide deployment strategies, processes and resources. More than 4000 customers, among the world's largest and most respected companies, have successfully implemented Planview software to optimize their enterprise portfolio management, project, portfolio and resource management, business intelligence and expense tracking processes. We have had stable, organic growth for years and now need reinforcement.

Job Summary:

The Planview BI Team is seeking an experienced Business Intelligence Analyst – 2 to support, troubleshoot, optimize, and enhance business intelligence and reporting solutions built on Planview products.

This role focuses on advanced BI support across Power BI, Microsoft Fabric, SQL Server, SSAS, SSRS, OData, Dataflows, Data Pipelines, Data warehousing, and Data models. The BI Analyst – 2 will handle complex technical issues, perform advanced root-cause analysis and performance tuning, and work closely with customers and internal teams to deliver scalable BI solutions.

Key Responsibilities:

· Troubleshoot and resolve complex issues involving data accuracy, refresh failures, report behavior, connectivity, security, and performance across Power BI, SSRS, SSAS, SQL Server, OData, and Data warehousing layers.

· Perform advanced T-SQL development and performance tuning, including execution plans, indexing, query optimization, stored procedures, views, and complex queries.

· Support, develop, maintain, and optimize Power BI semantic models, DAX measures, Power Query, datasets, workspaces, gateways, refreshes, and Row-Level Security.

· Support and troubleshoot SSAS Tabular and Multidimensional models, including processing, calculations, relationships, security, and performance.

· Develop and troubleshoot advanced SSRS/paginated reports, including parameters, subreports, drill-through, expressions, pagination, subscriptions, and export formats.

· Support Microsoft Fabric solutions including Data Pipelines, Dataflows Gen2, Lakehouse/Warehouse, semantic models, and Power BI integration.

· Troubleshoot ETL/ELT processes, data pipelines, Dataflows, refresh failures, and data transformation issues across BI environments.

· Analyze and troubleshoot OData feeds, including filtering, pagination, refresh, connectivity, and large-volume data scenarios.

· Support Planview Automart, Datamart, and data warehouse implementations and ensure data consistency across source, warehouse, semantic, and reporting layers.

· Perform end-to-end root-cause analysis and performance optimization across the BI technology stack.

· Collaborate with customers, Product, Engineering, Hosting, and Support teams on complex technical issues and escalations.

· Provide technical guidance and mentoring to BI Analyst – 1 team members and contribute to BI best practices and documentation.

Required Skills & Qualifications:

·      5+ years of professional experience in Business Intelligence Development, BI Support, Data Analytics, or a related field.

·      Strong hands-on experience with Power BI, DAX, Power Query, and enterprise data modeling.

·      Advanced knowledge of SQL Server and T-SQL, including query optimization and performance tuning.

·      Strong experience with SSRS and enterprise reporting.

·      Experience with SSAS Tabular and/or Multidimensional models.

·      Experience with Microsoft Fabric, particularly Data Pipelines, Dataflows, Lakehouse/Warehouse, and Power BI.

·      Experience working with OData and enterprise data integration.

·      Strong understanding of Data Warehousing, Datamarts, Automart, ETL/ELT, and data modeling.

·      Experience troubleshooting Power BI Service, gateways, refreshes, security, and semantic models.

·      Strong analytical, troubleshooting, and root-cause analysis skills.

·      Proven ability to work directly with customers and communicate technical concepts to both technical and non-technical stakeholders.

·      Experience with tools such as DAX Studio, Tabular Editor, Performance Analyzer, Query Store, or SQL Profiler is an advantage.

• Relevant Microsoft certifications such as PL-300, DP-600, or DP-203 are an added advantage.

Position title: Business Intelligence and Data Analyst

Summary -

• Operate and continuously improve the CARS/BI backend within the global Enterprise Data and Business Intelligence platform, ensuring system stability, continuous data loading, and Warehouse the timely delivery of business-critical reports.

• Own the underlying data foundation — SQL pipelines, relational data models, and data warehouse structures — that internal reporting teams and global Data Management initiatives depend on, and act as 1st and 2nd level support for internal customers such as SCM and Sales.

• The role is needed to secure daily BI availability in the Asian time zone, reduce the risk of late or incorrect reporting, and add dedicated database and ETL capacity to the global BI team, including support to the Data Centre team on infrastructure-related issues.

Responsibilities:

• Operate, monitor, and maintain the CARS/BI data integration and data processing workflows, ensuring continuous data loading and stable daily business operations.

• Provide 1st and 2nd level support for CARS/BI, including user support, incident handling, and root-cause analysis of data issues.

• Develop, maintain, and optimise SQL-based data pipelines and transformations within the Enterprise Data Warehouse.

• Design and maintain relational data models and data warehouse structures for CARS BI.

• Integrate data from ERP and other enterprise systems into the BI backend.

• Ensure data consistency, integrity, and performance at the database level, including query tuning and database efficiency improvements.

• Administer the BI technical environment and contribute to its continuous enhancement as part of a global team.

• Support reporting teams by providing structured, reliable datasets and safeguarding the timely delivery of business-critical reports.

• Contribute to global Data Management initiatives, with a focus on Master Data Management and the development of a Common Data Model within the Business Integration Platform.

• Collaborate with the Data Centre team to resolve infrastructure-related issues affecting BI availability.

Education and Experience:

Bachelor's degree in Engineering (BE/B.Tech) or equivalent in Computer Science, Information Technology, or a comparable technical field.

Minimum 3 years of relevant professional experience in Business Intelligence, data warehousing, or database development, including hands-on SQL and ETL work in an enterprise environment.

Experience supporting business users in a global or multi-time-zone IT organisation is an advantage.

Competencies:

• Knowledge about either BI platforms (e.g. IBM Cognos BI suite) or ETL tools (e.g. Informatica PowerCenter)

• Database, data modeling and SQL (preferred Oracle PLSQL)

• Good analytical and communication skills

• Teamplayer

• English

• Strong hands-on experience with SQL (advanced level)

• Solid understanding of relational databases and data warehouse concepts

• Experience with ETL tools and database technologies (e.g., Oracle, SQL Server, SAP BW,Informatica or similar)

• Performance tuning and query optimization skills

• Structured, detail-oriented, and quality-focused working style

• Good understanding of enterprise data flows (SAP/CARS is a plus)

Key Interfaces and Stakeholders:

Only internal customers with different topics: e.g. SCM, Sales etc.

Geography to cover and Travel requirements:

Asian Time Zone, Sometimes travel is required

Behavioral Characteristics

Reliability and accountability — the role safeguards daily reporting availability, so dependable ownership of monitoring and issue follow-up is expected. Structured, analytical problem solving with the patience for thorough root-cause analysis. Service orientation and clear communication towards internal customers such as SCM and Sales. Initiative taking and self-reliance, given largely independent work in the Asian time zone. Cooperation and team spirit within a globally distributed BI team across cultures and time zones. Flexibility and resilience under time pressure, including occasional off-hours support during critical data loads. Integrity and discretion when handling confidential business data. Quality focus and attention to detail, with a continuous improvement mindset.

Interview process

2 rounds - Virtual interview and 1 round Face to Face

Any other Criteria

• Notice Period: Below 60 or 90 Days . No Negotiation on Notice Period
• Gender: Female and Male; Female preferred
• Qualification:Bachelor's degree in Engineering (BE/B.Tech) or equivalent in Computer Science, Information Technology, 

Role Overview

We are seeking a skilled Senior Data Analyst with substantial hands-on experience in Source System Analysis, data mapping, data modeling, SQL analysis, and integration testing. The ideal candidate will support seamless data flow across business applications, ensure data accuracy, and contribute to system improvements.

Key Responsibilities

• Conduct detailed data mapping between source and target systems, ensuring consistency and accuracy.
• Build and maintain data models to support business processes, reporting needs, and integration workflows.
• Write and optimize SQL queries for data validation, analysis, migration, and troubleshooting.
• Work closely with cross-functional teams to gather data requirements and understand business logic.
• Develop and execute integration test plans, including functional, data validation, and regression testing.
• Support data migration activities, including extraction, transformation, and loading (ETL).
• Monitor and troubleshoot integration issues, ensuring timely resolution.
• Document integration flows, data dictionaries, mapping catalogs, and knowledge artifacts.
• Ensure integration security, data integrity, and compliance with organizational standards.

Required Skills & Qualifications

• 5+ years of experience insource system integrations, data mapping, and system-to-system data workflows.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Hands-on experience with data mapping, data modelling, and database schema design.
• Proficiency in SQL (complex joins, stored procedures, performance tuning).
• Experience with ETL tools or integration platforms (Informatica, Boomi, MuleSoft, Talend, Pentaho).
• Strong analytical and problem-solving skills.
• Experience with API-based integrations (REST/SOAP) is a plus.
• Familiarity with testing methodologies for integrations and data validation.
• Ability to work with business users, understand workflows, and translate requirements into technical solutions.

Preferred Qualifications

• Experience with cloud ERP or cloud integration (AWS/Azure/GCP).
• Knowledge of JSON, XML, CSV transformation.
• Exposure to scripting languages (Python, Shell).
• Experience in Agile/Scrum environments.
• Prior involvement in ERP implementation or upgrade projects.

Competencies

• Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
• Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
• Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
• Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Application Details

Ready to make an impact? Apply today and become part of the QX Impact team!

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

Greetings from LL Tech Solutions!

We are urgently looking for an experienced GA4 Lead Analyst for a domestic requirement. The ideal candidate should have strong hands-on experience in web analytics, GA4, Universal Analytics, SQL, BigQuery, dashboard development and experimentation.

Job Details

• Experience: 8+ years
• Location: Remote – India
• Shift Timing: 3:30 PM–12:30 AM
• CTC: Up to ₹28 LPA
• Notice Period: Immediate joiners only
• Employment Type: Full-time
• Requirement Type: Domestic/India

Key Responsibilities

• Lead web and digital analytics initiatives using GA4 and Universal Analytics.
• Analyse website and customer-journey data to identify trends and business opportunities.
• Extract, manipulate and analyse large datasets using SQL and BigQuery.
• Design and maintain dashboards using Looker Studio, Tableau, Power BI or similar tools.
• Define KPIs and build scalable reporting and measurement frameworks.
• Conduct A/B tests, validate hypotheses and analyse experiment results.
• Ensure accuracy and consistency across analytics reports and data sources.
• Translate complex data into actionable business recommendations.
• Collaborate with product, marketing, engineering and business teams.
• Present insights and strategic recommendations to senior stakeholders.
• Mentor team members and ensure the timely delivery of analytics projects.

Mandatory Skills

• Strong hands-on experience with GA4 and Universal Analytics.
• Advanced SQL and BigQuery experience.
• Dashboard development using Looker Studio, Tableau or Power BI.
• Strong understanding of web analytics, customer journeys, funnels and conversion tracking.
• Ability to identify trends and convert findings into strategic recommendations.
• Excellent communication and stakeholder-management skills.
• Prior experience leading analytics projects or teams.

Good-to-Have Skills

• Experience with Google Tag Manager and event-tracking frameworks.
• Understanding of hypothesis testing and regression fundamentals.
• Hands-on experience running A/B tests and analysing results.
• Exposure to e-commerce, product or digital marketing analytics.
• Knowledge of data validation, governance and analytics implementation.

Please include your current CTC, expected CTC, notice period and current location while applying.