Business Analyst at SS Supply Chain Solutions Pvt Ltd · Remote, Pune · 3 - 7 years · ₹6L - ₹12L / yr · Profitable · Remote friendly · Posted 6 Sep 2022
Define, develop and communicate key metrics and business trends to partner and management teams
• Model and present data to create reporting and dashboards for business process management and data mining
• Coordinate with business units and key process owners to identify, develop and drive key analytics and reporting projects relevant to the business
• Execute quantitative analysis that translate data into actionable insights
• Analyze business requirements for reporting and analysis and subsequently translating the emanating results into good technical data designs and reports
• Critically evaluate information gathered from multiple sources, reconcile conflicts and document information in details
• Design optimal solutions for integrating data requirements with systems
• Gather and maintain best practices that can be adopted in big data stacking and sharing across the business
• Keep abreast with technology; maintain a current level of knowledge of the technical environment relevant to industry leading practices and continuously propose innovative solutions
• Conduct any other activities relevant to the job
Basic Qualification:
• Minimum a bachelor’s degree in Computer Science, Math, Statistics, or engineering any other related subject
from a reputable university. MBA is preferable
• Excellent knowledge in statistical analysis (Regression, summarizing A/B experiments, and such).
• 3+ years of experience as a business analyst, preferably in a technology or logistics industry
• Strong quantitative abilities, distinctive problem-solving and excellent analysis skills
• Technical capabilities: Proficient in SQL, Advanced Excel, Other scripting language (Python/Perl)
• Strong working experience with BI tools (Micro Strategy, Qlik View, MS Power BI or Tableau) and Statistical
tools (R, SAS, SPSS)
• Excellent business acumen and understanding of business processes
• Supply Chain Management knowledge will be added advantage
Technical Knowledge
• Advanced knowledge of BI tools
• Knowledge in building reports and workflow design, and best practices in data management
• Able to work and communicate effectively with Engineers, DBAs and Business users
• Able to manage multiple projects concurrently
Behavioral Competencies:
• Excellent English written / verbal communication skills
• Design thinking and Analytical Approach
• Energetic, focused and motivated, flexible, willing to be part of the team and participate in the planning
and execution of day-to-day work and work as an IC with minimal guidance on occasions
• Strong problem detection/solving abilities.

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Job Title: Senior Data Analyst
Location: Sharnam Metrolinks, Amraiwadi, Ahmedabad
Working Days: 6 Days a Week
Department: MDO
Reporting To: COO
Employment Type: Full-Time
Job Summary
We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization.
The role focuses on transforming raw data into meaningful insights, designing and implementing automated systems, strengthening data structures, and supporting cross-functional teams with accurate, actionable intelligence to drive strategic and operational business decisions.
Key Responsibilities
1. Data Management & Reporting
● Collect, clean, validate, and consolidate data from multiple internal and external sources.
● Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.
● Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.
2. Database & Data Accuracy Management
● Manage and regularly update internal databases, spreadsheets, and reporting systems.
● Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.
● Implement best practices for data validation, version control, and audit checks.
3. Data Analysis & Business Insights
● Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.
● Translate data findings into clear, actionable insights and recommendations to support
strategic and operational decision-making.
4. Reporting Automation, System Recommendation & Implementation
● Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.
● Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.
● Proactively suggest new automation tools, system enhancements, or integrations to
improve efficiency, accuracy, and scalability.
● Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.
● Continuously monitor and optimize automated systems in line with business growth and evolving data needs.
5. Cross-Functional Coordination & Support
● Collaborate with Sales, HR, Finance, Operations, and other departments to understand
reporting and data requirements.
● Provide support for ad-hoc analysis, custom reports, and special data requests.
● Act as a data partner to department heads for decision support and performance tracking.
6. Documentation & Compliance
● Maintain complete and updated documentation for MIS processes, reports, data models,
automation logic, and system changes.
● Ensure compliance with company data governance policies and applicable data protection standards.
System Development & Data Structuring Responsibilities
● Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.
● Review existing manual and digital data systems to identify operational gaps, risks, and
mprovement opportunities.
● Recommend structured data models, reporting formats, and storage solutions aligned with
business requirements.
● Coordinate with department heads to define data structures, access levels, and reporting
standards.
● Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP
integrations) with minimal operational disruption.
● Design structured data formats and role-based access controls to ensure secure and
organized data management.
● Train employees on newly implemented systems and provide post-implementation
support.
● Monitor system performance, resolve issues, and continuously improve systems based on
user feedback and organizational growth.
Qualifications & Experience
● Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.
● 3–5 years of experience in data analytics, reporting, or system automation roles.
● Strong analytical thinking, logical reasoning, and problem-solving abilities.
● High attention to detail with excellent organizational and documentation skills.
Technical Skills (Must Have)
● Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts
● BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)
● Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization
● Vlook
Preferred Skills
● Strong verbal and written communication skills
● Ability to handle sensitive and confidential information responsibly
● Quick learner with a tech-savvy, improvement-driven, and solution-oriented mindset

Experience: 7–10+ years | Industry Preference: Financial Services / BFSI
Role Overview
We are seeking a Senior Reporting Analyst / Business Intelligence Lead to own and drive
enterprise reporting, analytics, and data insights across the organization. This is a senior,
hands-on role requiring deep technical expertise across the Microsoft data and BI stack,
strong business acumen, and the ability to operate with minimal hand-holding. The ideal
candidate will act as a bridge between business leadership and technical teams, translating
complex business questions into scalable, reliable data models and executive-ready insights.
Key Responsibilities
Serve as the primary owner of enterprise reporting and BI solutions, from data
ingestion through executive dashboards.
Design, build, and maintain scalable Power BI / Microsoft Fabric semantic models using
STAR schema best practices.
Partner closely with business stakeholders and C-level executives to define KPIs,
metrics, and reporting requirements.
Lead and present weekly reporting and insights sessions with senior and executive
leadership.
Ensure data accuracy, consistency, and trust across all reports and analytics outputs.
Proactively identify data quality issues, root causes, and remediation strategies.
Drive automation of reporting, alerts, and data refresh processes to reduce manual
effort.
Collaborate with engineering, data, and application teams to align business logic with
source system data structures.
Mentor junior analysts and establish BI standards, best practices, and documentation.
Technical Skills – Data & Backend
Advanced SQL: complex queries, views, stored procedures, and validation against
source systems (RDN, Recovery Connect).
Azure Data Factory: build and manage copy pipelines from SQL sources to data
warehouses / dedicated pools.
Incremental refresh, parameterized pipelines, and schema replication.
Data warehouse design: STAR schema, fact vs dimension tables, handling deleted
records and SCDs.
Technical Skills – Reporting & Frontend
Power BI / Microsoft Fabric: Power Query, DAX, and M language expertise.
Semantic model design (1-to-many, 1-to-1, many-to-1 relationships).
Query folding and performance optimization best practices.
Paginated Report Builder (SSRS-style) for automated Excel and PDF reporting.
Power Automate integration for alerts and workflow-driven notifications.
Data Quality & Analytics
Ability to clean, normalize, and reconcile data across multiple systems.
Strong troubleshooting skills when business definitions and data do not align.
Translate business terminology into accurate technical mappings and calculations.
Communication & Leadership
Serve as a key liaison between business stakeholders and technical teams.
Comfortable working directly with C-level executives and senior leadership.
Ability to lead executive-level meetings and clearly communicate insights.
Self-starter mindset with minimal hand-holding.
Qualifications
7–10+ years of experience in BI, analytics, or enterprise reporting roles.
Preferred experience in financial services or regulated environments.
Strong experience across the Microsoft BI ecosystem.
Preferred Certifications
Microsoft PL-300 (Power BI Data Analyst)
Microsoft DP-600 (Fabric Analytics Engineer)
Microsoft DP-700 (Fabric Data Engineer)
What Success Looks Like
Executive leadership trusts and relies on BI dashboards for decisions.
Reporting is automated, accurate, and scalable.
BI functions as a strategic partner to the business.
Role Overview
We are seeking a Senior Reporting Analyst / Business Intelligence Lead to own and drive enterprise reporting, analytics, and data insights across the organization. This is a senior, hands-on role requiring deep technical expertise across the Microsoft data and BI stack, strong business acumen, and the ability to operate with minimal hand-holding. The ideal candidate will act as a bridge between business leadership and technical teams, translating complex business questions into scalable, reliable data models and executive-ready insights.
Key Responsibilities
· Serve as the primary owner of enterprise reporting and BI solutions, from data ingestion through executive dashboards.
· Design, build, and maintain scalable Power BI / Microsoft Fabric semantic models using STAR schema best practices.
· Partner closely with business stakeholders and C-level executives to define KPIs, metrics, and reporting requirements.
· Lead and present weekly reporting and insights sessions with senior and executive leadership.
· Ensure data accuracy, consistency, and trust across all reports and analytics outputs.
· Proactively identify data quality issues, root causes, and remediation strategies.
· Drive automation of reporting, alerts, and data refresh processes to reduce manual effort.
· Collaborate with engineering, data, and application teams to align business logic with source system data structures.
· Mentor junior analysts and establish BI standards, best practices, and documentation.
Technical Skills – Data & Backend
· Advanced SQL: complex queries, views, stored procedures, and validation against source systems (RDN, Recovery Connect).
· Azure Data Factory: build and manage copy pipelines from SQL sources to data warehouses / dedicated pools.
· Incremental refresh, parameterized pipelines, and schema replication.
· Data warehouse design: STAR schema, fact vs dimension tables, handling deleted records and SCDs.
Technical Skills – Reporting & Frontend
· Power BI / Microsoft Fabric: Power Query, DAX, and M language expertise.
· Semantic model design (1-to-many, 1-to-1, many-to-1 relationships).
· Query folding and performance optimization best practices.
· Paginated Report Builder (SSRS-style) for automated Excel and PDF reporting.
· Power Automate integration for alerts and workflow-driven notifications.
Data Quality & Analytics
· Ability to clean, normalize, and reconcile data across multiple systems.
· Strong troubleshooting skills when business definitions and data do not align.
· Translate business terminology into accurate technical mappings and calculations.
Communication & Leadership
· Serve as a key liaison between business stakeholders and technical teams.
· Comfortable working directly with C-level executives and senior leadership.
· Ability to lead executive-level meetings and clearly communicate insights.
· Self-starter mindset with minimal hand-holding.
Qualifications
· 7–10+ years of experience in BI, analytics, or enterprise reporting roles.
· Preferred experience in financial services or regulated environments.
· Strong experience across the Microsoft BI ecosystem.
Preferred Certifications
· Microsoft PL-300 (Power BI Data Analyst)
· Microsoft DP-600 (Fabric Analytics Engineer)
· Microsoft DP-700 (Fabric Data Engineer)
What Success Looks Like
· Executive leadership trusts and relies on BI dashboards for decisions.
· Reporting is automated, accurate, and scalable.
· BI functions as a strategic partner to the business.
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.
Job Summary
We are looking for an experienced professional with strong expertise in Power BI, Power Apps, Power Automate, Excel, data analysis, and executive reporting. The candidate will be responsible for developing interactive dashboards, automating business processes, analyzing data, and preparing management reports to support business decision-making.
Key Responsibilities
- Develop, maintain, and enhance interactive dashboards and reports using Power BI.
- Build Power Apps solutions to improve business processes and user productivity.
Required Technical Skills
- Power BI: Dashboard development, report creation, data modeling, and visualization.
- Power Apps: Canvas apps, forms, and business application development.
- Power Automate: Workflow automation, approvals, notifications, and process automation.
- Microsoft Excel: Advanced formulas, PivotTables, lookups, data cleaning, and analysis.
- Data Analysis: Data interpretation, trend analysis, KPI tracking, and business insights.
- Executive Reporting: Management dashboards, performance reports, and KPI presentations.
- DAX & Power Query: Data transformation, calculations, and report optimization.
Preferred Skills
- Experience integrating multiple data sources.
- Knowledge of Microsoft 365 and SharePoint.
- Understanding of business intelligence and reporting best practices.
- Strong analytical, problem-solving, and communication skills.
- Ability to interact with business stakeholders and senior management.
Experience and Qualification
- Minimum 5+ years of relevant experience in BI, data analytics, reporting, or Microsoft Power Platform.
- Hands-on experience with Power BI, Power Apps, Power Automate, and Excel.
Strong Data Analyst Profile with Python, SQL, and data-pipeline expertise, ideally with retail / e-commerce datasets
2
Mandatory (Experience 1): Must have 4+ years of hands-on data-analyst experience, working with large datasets across areas such as sales, inventory, pricing, promotions, and customer behaviour.
3
Mandatory (Tech skill 1): Must have strong hands-on Python for data processing, transformation, automation, and analysis
4
Mandatory (Tech skill 2): Must have strong SQL skills, including complex queries, joins, aggregations, and data validation.
5
Mandatory (Tech skill 3): Must have a solid understanding of Data Lake architecture, ingestion, storage, and processing workflows
6
Mandatory (Tech skill 4): Must have hands-on experience with ETL / ELT pipelines, data integration, and transformation
7
Mandatory (Tech skill 5): Must have experience with Azure or GCP data services.
8
Mandatory (Tech skill 6): Must have understanding of or experience with Databricks and distributed data processing.
9
Mandatory (Tech skill 7): Must have knowledge of data modeling, data warehousing, and Lakehouse architecture
10
Mandatory (Tech skill 8): Must have experience with Power BI, Tableau, or Excel for reporting.
11
Mandatory (Communication): Must have strong analytical, documentation, and stakeholder-communication skills.
12
Mandatory (Education): Must hold a Bachelor’s degree in Computer Science, IT, Engineering, or a related field.
13
Mandatory (Note1): This is a 6-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)
We are looking for a skilled Power BI / Power Platform Analyst with experience in data analysis, dashboard development, automation, and executive reporting. The ideal candidate should be proficient in Power BI, Power Apps, Power Automate, and advanced Excel to transform business data into actionable insights and improve operational efficiency.
Responsibilities
- Develop interactive dashboards and reports using Power BI to support business decision-making.
- Build and maintain applications using Microsoft Power Apps to streamline business processes.
- Design automated workflows using Power Automate to reduce manual tasks and improve efficiency.
- Perform data analysis, data validation, and data cleansing using Excel and other relevant tools.
- Prepare executive-level reports, KPI dashboards, and management presentations.
- Gather reporting requirements from stakeholders and translate business needs into analytical solutions.
- Integrate data from multiple sources and ensure data accuracy and consistency.
- Identify trends, performance gaps, and opportunities for process improvement.
Required Skills
- Strong experience in Power BI, Power Apps, and Power Automate.
- Advanced Excel skills, including PivotTables, lookup functions, and data analysis.
- Experience in dashboard development, KPI tracking, and executive reporting.
- Strong analytical, problem-solving, and data interpretation skills.
- Good communication and stakeholder management skills.
- Knowledge of SQL, DAX, Power Query, and data modelling is an added advantage.
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.
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











