Product Analyst

Key Responsibilities

• Collect, consolidate and manage data from various internal systems, SaaS platforms, CRM/ERP modules, logs, and databases.
• Generate daily, weekly, monthly, and ad-hoc MIS reports and dashboards for operations, sales, finance, customer-support or other relevant teams.
• Use advanced Excel to build, maintain, and manage complex spreadsheets — including pivot tables, VLOOKUP / HLOOKUP / INDEX-MATCH, SUMIF/COUNTIF, conditional formatting, charts/graphs, macros/VBA (if needed) to automate routine reporting tasks.
• Validate and clean data — ensure data integrity, consistency; identify and rectify discrepancies or anomalies.
• Collaborate with cross-functional teams (product, operations, support, finance, sales) to understand their data/reporting needs and deliver appropriate reports/insights.
• Provide ad-hoc data analysis or custom reporting as required by management or US stakeholders.
• Maintain documentation of reporting processes, data definitions/SOPs, report templates, and standard workflows.
• Ensure timely delivery of reports — especially considering night-shift schedule — so that US-based stakeholders receive data at start of their business day.
• Identify opportunities for process improvement and automation to make MIS reporting more efficient and reliable.

Required Skills & Qualifications

• Bachelor’s degree (in IT, Computer Science, Business, Statistics, or related field) or equivalent.
• Proven experience (1–3 years or as per company requirement) in MIS, data reporting/analysis, or similar role.
• Strong proficiency in Microsoft Excel — including advanced formulas/functions (VLOOKUP/HLOOKUP/INDEX-MATCH), pivot tables, charts/graphs, conditional formatting, data cleaning, data validation.
• Ability to build and maintain dashboards/reports; comfortable using Excel for recurring and ad-hoc reports.
• Strong analytical and problem-solving skills; ability to work with large datasets, identify trends, anomalies, and draw insights.
• Good communication skills — ability to coordinate with different teams/stakeholders, understand requirements, and present data/insights clearly.
• Readiness for night-shift work from office; ability to work independently, meet deadlines and manage time effectively.

Product Analyst

We are seeking a detail-oriented and analytical Product Analyst to join our team. The ideal candidate will work closely with cross-functional teams to evaluate product performance, conduct user and market research, and translate data into actionable insights.

Roles & Responsibilities

• Conduct market and user research to analyse customer needs, business requirements, and industry trends, translating insights into frictionless customer journeys.
• Define product strategy and contribute to the creation of prototypes, feature concepts, and long-term product roadmaps.
• Collaborate closely with Business, and UX teams to shape product flows and user experiences.
• Partner with Engineering teams to ensure smooth development, execution, and timely product launches.
• Work with the QA team to ensure high-quality product delivery without any issues/defects.
• Manage the full product lifecycle, including ideation, requirements definition, user research, specification writing, testing, and performance tracking.

Desired Skills

• Proactive, solution-oriented mindset with strong ownership of deliverables.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills, with the ability to articulate ideas clearly and effectively.

Qualifications & Experience

• 0–1 year of product management experience post engineering.
• B.Tech from IITs, NITs, BITS, or other reputed engineering institutions.
• Prior software development experience is an added advantage.

Location

• Bengaluru (Work from office, Full-time)

Compensation

• Competitive, aligned with market standards.

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/

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.

Experience Required: Minimum 8 Years

About the Role:

Key Responsibilities

• Design and manage organization-wide MIS reports, dashboards, and executive reports.
• Develop automated reporting solutions using Python, VBA Macros, Power Query, and Advanced Excel.
• Analyze large datasets and provide business insights to leadership.

Eligibility Criteria

• 5+ years of experience in Business Intelligence, MIS, Business Analytics, or Data Analytics.
• Strong analytical and logical thinking with the ability to understand business requirements and convert data into meaningful business insights.
• Experience in developing dashboards and management reports using any Business Intelligence tool (Power BI, Tableau, Zoho Analytics, etc.).

Apply Now:

https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort

Required Skills:

• Strong proficiency in SAS, including Advanced SAS Programming and SAS/SQL.

• Solid domain knowledge of Banking products, specifically Credit Cards and/or Personal Loans.

• Hands-on experience in at least one stage of the Credit Lifecycle:

• Acquisition
• Account Management
• Authorization
• Collections

Good to Have Skills:

• Basic understanding of Testing concepts (Data Testing, Business Logic Testing, Functional Testing).

• Experience with Decision Engines such as FICO DMP, Experian PowerCurve, FICO TRIAD, or FICO Blaze.

• Good knowledge of Python with hands-on experience in NumPy and Pandas.

• Exposure to GenAI and Agentic AI technologies.

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

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

The Power BI Intern will assist the analytics team in using Microsoft Power BI to create interactive dashboards and reports. Working with actual datasets to assist well-informed business decision-making, this position provides practical exposure to data analysis, visualization, and business intelligence techniques.

PRODUCT ANALYST

Bridge Business Goals and Engineering Excellence through rigorous documentation and Gap Analysis.

You're the foundational anchor that turns business complexity into crystal-clear product specifications. You don't just gather requirements—you interrogate them, map every edge case, and eliminate ambiguity before a single line of code is written. Own the creation of comprehensive documentation (BRD, PRD, FRD), bridge the gap between stakeholders and engineering, and ensure every feature is built with absolute clarity and precision.

Cambridge Wealth is a fast-growing, award-winning investment services and fintech firm obsessed with quality. We serve a high-profile clientele (domestic, NRI, retail, and ultra-HNI professionals) and have been recognized by the BSE and major Mutual Fund houses. You'll work on documentation and feature specs that matter to ultra-HNI wealth clients and innovative fintech users simultaneously.

YOUR MISSION:   

Own the requirements lifecycle—from stakeholder interviews and business analysis to comprehensive BRDs, PRDs, and FRDs. Hunt down functional bottlenecks and logical gaps before they reach development, translate complex wealth management workflows into unambiguous engineering specs, and keep the product pipeline airtight without cutting corners.

WHAT YOU'LL ACTUALLY BE DOING  

Documentation Mastery (BRD, PRD, FRD)  

Write comprehensive, crystal-clear Business Requirement Documents (BRDs), Product Requirement Documents (PRDs), and Functional Requirement Documents (FRDs). Translate business objectives and user feedback into specs that leave zero room for ambiguity, complete with detailed user stories, workflow diagrams, and strict acceptance criteria.

Gap Analysis & Requirements Engineering  

Proactively hunt for functional gaps, logical flaws, and edge cases in proposed features. Conduct rigorous root-cause analysis on requirement mismatches and clarify cross-system dependencies. You identify what is missing from a spec before engineering even looks at it.

Stakeholder & Business Alignment  

Act as the primary bridge between business stakeholders, UI/UX designers, and engineering teams. Facilitate requirement-gathering workshops, extract unstated assumptions, and translate complex financial and wealth management workflows into structured functional specifications.

Process & Workflow Mapping  

Design clear process flows, system interaction diagrams, and data mapping blueprints. Ensure that internal operational workflows (such as investor onboarding, KYC, and portfolio tracking) are thoroughly documented and optimized for digital execution.

UAT & Quality Assurance Support  

Partner closely with QA and engineering team to ensure implementation matches intent. Design comprehensive User Acceptance Testing (UAT) test cases, validate releases against original BRD/FRD criteria, and document post-release discrepancies.

Backlog Grooming & Refinement Support  

Collaborate with Product Managers/Owners to help refine, prioritize, and structure the product backlog. Ensure user stories are fully fleshed out with technical constraints, business rules, and precise acceptance criteria prior to sprint planning.

THIS ROLE IS NOT FOR YOU IF...  

• You prefer high-level vision setting over writing detailed granular specifications and functional requirements.
• You are uncomfortable digging deep into complex operational and financial workflows to find hidden logic gaps.
• You struggle with structuring ambiguous business ideas into formal, structured documentation.
• You treat documentation as an afterthought rather than a core engineering asset.

WHAT YOU NEED TO BRING  

Core Skills:  

• 2+ years as a Business Analyst/Product Analyst, or similar role writing detailed BRDs, PRDs, and FRDs in fast-paced fintech or startup environments.
• Mastery of Requirement Engineering: Proven ability to elicit requirements, write user stories, map workflows, and define rigorous edge cases and acceptance criteria.
• Sharp Gap Analysis & Problem-Solving: An uncanny ability to spot inconsistencies, missing logic, and integration blind spots before development begins.
• Strong Communication & Technical Writing: You write pristine specs that developers can build directly from, aligning business goals with technical execution.
• Basic understanding of UX principles and user-centered design methodologies to ensure functional specs align with intuitive user journeys.

Technical Toolkit:  

• Advanced Zoho/Google Sheets: Pivot tables, VLOOKUP, complex formulas, and data structuring.
• Documentation & Diagramming Tools
• SQL (basic-to-intermediate): For data extraction, querying requirements, and quick analysis.
• Zoho CRM & Zoho Analytics: Familiarity with navigating these platforms is a strong plus.

Domain Knowledge (Bonus Points):  

• Understanding of mutual funds, wealth management, fintech, or regulated financial services.
• Familiarity with complex investor onboarding flows, KYC compliance, or client delivery in financial services.
• Hands-on experience working within Agile/Scrum development teams as a requirement writer or scrum master

WHY JOIN US?  

• Massive Learning Curve: Learn how to build a Tech-led organization and a global-quality digital product from the ground-up (not just adding features to old software).
• You Matter: You’ll be a core contributor with a clear growth trajectory, not just a small cog in a huge wheel.
• Real Responsibility: Get competitive compensation and the flexibility that comes with proving yourself in a fast-growth, results-oriented environment.

OUR HIRING PROCESS  

1. Application & Initial Screen: Quick application with a few brief questions. (5 min)
2. Online Challenge: Showcase your aptitude, documentation skills, and gap-analysis capabilities. (70-90 min)
3. People Sync: Cultural and value alignment conversation. Do we think alike? (30 min)
4. Deep Dive In-Person Interview: Discussion with product and senior leadership on requirement structuring. (1 hour)
5. Founder Vision Alignment: Meet leadership to discuss product impact and your role in scaling. (1 hour)
6. Offer & Onboarding: Reference and BGV checks post-offer.

Note: This is a WFO opportunity at Prabhat Road, Pune.