Senior 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

Strong Data Analyst Profile with advanced Excel and SQL expertise

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

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

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

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

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

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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)

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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.

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

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

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.

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/

Ideal Candidate

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Strong Lead Business Analyst Profile with team leadership experience and BFSI background

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Mandatory (Experience 1): Must have 6+ years of experience as a Business Analyst, including team lead or people-management experience with at least recent 2+ years in BFSI background

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Mandatory (Experience 2): Must have proven ability to lead and mentor analysts and coordinate work across multiple stakeholders

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Mandatory (Experience 3): Must have owned requirement gathering, analysis, and documentation end-to-end for key initiatives, ensuring quality and consistency of BA deliverables

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Mandatory (Experience 4): Must have experience translating business needs into functional specifications, user stories, and process flows with senior stakeholders

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Mandatory (Experience 5): Must have experience defining and driving BA best practices, standards, templates, and process improvements

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Mandatory (Experience 6): Must have experience overseeing testing, validation, and stakeholder sign-off across workstreams

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Mandatory (Skill 1): Must have strong requirement-gathering, documentation, and stakeholder-management skills.

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Mandatory (Skill 2): Must have excellent communication, analytical, and leadership abilities, with a data-informed decision-making approach

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Mandatory (Domain): Must have a background in the BFSI (Banking, Financial Services & Insurance) sector

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Mandatory (Shift): Must be willing to support calls during EST hours (this is an EST-based project)

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Preferred (Tools): Hands-on experience with Unqork or other low-code / no-code platforms

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!

Business Analyst – Data (Insurance)

Job Summary

Looking for a Business Analyst with strong experience in Insurance Data and Data Analytics.

The candidate should understand Policy, Accounting, Data Mapping, Data Quality, and business requirements, and be able to bridge business and engineering teams.

Responsibilities

• Gather and document business requirements.

• Perform source-to-target mapping.

• Define business rules and transformation logic.

• Conduct data analysis and profiling.

• Work with data engineering teams during implementation.

• Define data quality rules.

• Validate delivered datasets with business users.

• Prepare functional specifications and mapping documents.

Must Have Skills •

Business Analysis

• Data Mapping

• Source-to-Target Mapping

• Data Quality

• SQL

• P&C Insurance

• Policy

• Accounting

• Excel

• Requirement Gathering

Preferred

• Claims

• Billing

• Underwriting

• Reinsurance

• Azure

• Snowflake

• Databricks  

Position Summary

This is a key role supporting the day‑to‑day operation of one of our esteemed customers' core financial systems across the organization. In this role, you will support application configuration and best practices for systems including Hyperion, PeopleSoft, Concur, Oracle Transportation Management (TMS), Planview, Lucernex, and Coupa. The scope of this role will continue to expand as additional finance systems are shared across multiple business processes and application modules.

Reporting to the Finance Systems Manager and working closely with multiple business stakeholders as well as functional and technical application support teams across the enterprise, you will be responsible for ensuring the ongoing integrity, stability, and effectiveness of application functionality across the Customer's systems landscape.

This position provides an excellent opportunity to support change within a cross‑functional, multi–business unit environment, with exposure to all areas of Finance operations. The role offers a fast‑paced and challenging work environment, with regular interaction and visibility across multiple levels of management.

What you will do:

• Query, script and reporting writing within Finance applications such as Hyperion, PeopleSoft, Concur, Oracle Transportation Management (TMS), Planview, Lucernex, and Coupa
• Application configuration to support core business functionality of procure to pay (P2P)
• Ensure Finance standards are consistently achieved and proactively monitored within our core finance applications
• Engage with broader Finance Systems and Data Governance team members to perform root-cause analysis related to Finance application integrity and/or data fixes resulting from upstream system integrations
• Engage with broader Finance Business Analysts members to support in application enhancements and improvement initiatives.

What we are looking for:

• Demonstrated experience supporting financial and/or operational business processes, such as:
• Record-to-Report (close, consolidation, reporting)
• Procure-to-Pay (requisition → PO → invoice)
• Lease/real estate management and/or portfolio delivery processes
• Proven track record in incident/problem/change management with practical experience leading triage, RCA, and release coordination.
• Ability to elicit requirements and convert them into configuration recommendations and well-defined work items.
• Hands-on leadership of UAT, including test planning, execution, defect management, and go-live readiness.
• Strong understanding of integrations from a functional support standpoint (how data flows, common failure modes, reconciliation).

What you will bring:

• 5+ years in functional application support or functional analyst roles supporting enterprise applications (ERP/EPM/SaaS).
• Bachelor’s degree in business, Finance, Information Systems, Supply Chain, or equivalent experience.
• Strong functional support mindset: restore service quickly, prevent repeat issues, and improve stability over time
• Functional support experience with one or more of:
• Coupa (P2P, catalog/invoicing, supplier enablement, matching rules)
• Lucernex (leases, escalations, CAM, critical dates, lease reporting)

Good to have any of the following skills:

• PeopleSoft Financials (ChartFields, AP, GL, workflow, batch processes)
• Concur (expense policy, audit rules, corporate card feeds, ERP posting)
• OTM/TMS (tendering, execution, rating, freight settlement/audit)
• Planview (demand intake, portfolio/resource mgmt., governance workflows)
• Hyperion (planning, consolidation, metadata/hierarchies, Smart View support)
• Ability to read and validate file layouts/mapping documents, troubleshoot integration logs, and run basic queries (SQL) for investigation.
• Experience with structured intake forums, prioritization frameworks, product ownership, or ITIL-based service management.
• Experience partnering with data governance teams or supporting data quality controls and stewardship processes.

Work time: Eastern time zone (US Shift)

About the Role

Work at the intersection of business and technology, supporting operations, data analysis, automation, and digital tools to improve efficiency and growth. 

 Responsibilities 

• Support business operations using tech tools (Excel, CRM, dashboards)  
• Analyze data and generate insights for decision-making  
• Assist in automation workflows and process improvements  
• Coordinate between tech and business teams  
• Help in implementing digital solutions and tools  

 Skills Required 

• Basic knowledge of Excel / Google Sheets  
• Good analytical and problem-solving skills  
• Understanding of business processes  
• Interest in technology and automation  

 Details 

• Duration: 3–6 months  
• Mode: Remote  
• Certificate + PPO based on performance 

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