Senior Analytic Consultant at ZF india · Hyderabad, Chennai · 4 - 9 years · ₹3L - ₹15L / yr · Profitable · Posted 27 Dec 2022
Data AnalyticsIn this role, you will:
As part of a team focused on the preserving the customer experience across the organization, this Analytic Consultant will be responsible for:
- Understand business objectives and provide credible challenge to analysis requirements.
- Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases.
- Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve analysis accuracy.
- Applying critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality analysis results.
- Ensure adherence to data management/ data governance regulations and policies.
- Performing and testing highly complex data analytics for customer remediation.
- Designing analysis projects flow and documentation that is structured for consistency, easy to understand, and to be offered to multiple levels of reviewers, partners, and regulatory agents demonstrating research and analysis completed.
- Investigate and ensure data integrity from multiple sources.
- Ensure data recommended and used is the best “source of truth”.
- Applies knowledge of business, customers, and products to synthesize data to 'form a story' and align information to contrast/compare to industry perspective. Data involved typically very large, structured or unstructured, and from multiple sources.
- Must have a strong attention to detail and be able to meet high quality standards consistently.
- Other duties as assigned by manager.
- Willing to assist on high priority work outside of regular business hours or weekend as needed.
Essential Qualifications:
- Around 5+ years in similar analytics roles
- Bachelors, M.A./M.Sc. College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.
- Preferred programming knowledge SQL/SAS
- Knowledge of PVSI, Non-Lending, Student Loans, Small Business and Personal Lines and Loans is a plus.
- Strong experience with data integration, database structures and data warehouses.
- Persuasive written and verbal communication skills.
Desired Qualifications:
- Certifications in Data Science, or BI Reporting tools.
- Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment – Soft Skills.
- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities.
- Ability to research and report on a variety of issues using problem solving skills.
- Ability to act with integrity and a high level of professionalism with all levels of team members and management.
- Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment.
- Ability to learn the business aspects quickly, multitask and prioritize between projects.
- Exhibits appropriate sense of urgency in managing responsibilities.
- Ability to accurately process high volumes of work within established deadlines.
- Available to flex schedule periodically based on business need.
- Demonstrate strong negotiation, communication & presentation skills.
- Demonstrates a high degree of reliability, integrity and trustworthiness.
- Takes ownership of assignments and helps drive assignments of the team.
- Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player.
- Be proactive and get engaged in organizational initiatives.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Data AnalyticsRequired Qualifications & Skills:
- Bachelor's or Master's degree in Life Sciences, Pharmacy, Biotechnology, Clinical Research, Statistics, Data Science, Computer Science, Engineering, Business or a related field.
- 5–8 years of experience in Clinical Data Analysis, Clinical/R&D Analytics, Data Analysis, Business Analysis, or related roles.
- Proven experience working with Biopharma / Pharmaceutical / Life Sciences clients.
- Strong understanding of Clinical/R&D processes, systems, and data.
- Experience working with or analyzing data from systems such as CTMS, EDC, RIM/Regulatory systems, clinical planning systems, and other R&D platforms.
- Understanding of clinical product hierarchies, study/trial structures, site and subject data, milestones, and related R&D data domains.
- Strong SQL and data analysis capabilities.
- Experience with data quality, validation, reconciliation, data mapping, and root-cause analysis.
- Understanding of data warehousing, BI, reporting, data integration, and analytical data models.
- Strong communication, stakeholder management, documentation, and problem-solving skills.
- Experience working with cross-functional and geographically distributed teams.
- Familiarity with Agile/Scrum and tools such as Jira or Azure DevOps.
Must-Have Skills:
- Biopharma/Life Sciences Client Experience – proven experience working with Biopharma, Pharmaceutical, Biotechnology, Clinical Research, or Life Sciences clients.
- Clinical/R&D Domain Knowledge – strong understanding of clinical development, clinical operations, clinical trials, and R&D processes.
- Clinical/R&D Systems & Data – practical understanding of systems such as CTMS, EDC, RIM, eTMF, Study Startup, and clinical planning/portfolio management systems such as Planisware, along with the data generated and consumed across these systems.
- Clinical Data Structures – understanding of clinical product/asset hierarchies, study/trial structures, sites, subjects, milestones, and relationships between key R&D data domains.
- SQL & Data Analysis – ability to independently query, analyze, validate, reconcile, and troubleshoot complex datasets.
- Data Quality & Validation – experience with data profiling, reconciliation, business-rule validation, issue investigation, and root-cause analysis.
- Data Mapping & Lineage – understanding of source-to-target mapping, data transformations, data definitions, and data lineage across systems.
- Requirements & Analytical Thinking – ability to translate Clinical/R&D business needs into data requirements, business rules, metrics, and analytical specifications.
- Stakeholder Management – ability to work effectively with Clinical/R&D SMEs, business stakeholders, data engineers, architects, and BI teams.
Key Skills:
- Gather, analyze, and translate Clinical/R&D business requirements into data requirements, business rules, metrics, and analytical specifications.
- Analyze clinical and R&D datasets to identify trends, anomalies, inconsistencies, and data- quality issues.
- Understand data across key Clinical/R&D source systems, their relationships, data flows, and downstream analytical use.
- Perform data profiling, reconciliation, validation, source-to-target analysis, and root-cause analysis using SQL and other analytical tools.
- Define and validate clinical/R&D KPIs, metrics, data definitions, and reporting logic.
- Collaborate with Data Engineers, Data Architects, BI Developers, and Clinical/R&D stakeholders to deliver analytics solutions.
- Contribute to analytical datasets, semantic models, data products, and data lineage initiatives.
- Support UAT, test case development, defect investigation, and business sign-off.
- Facilitate workshops and stakeholder discussions to clarify requirements and resolve data-related issues.
- Maintain functional, data, and analytical documentation throughout the delivery lifecycle.
- Support data governance activities including data quality, Critical Data Elements (CDEs), metadata, and lineage.
- Support Agile delivery activities including backlog refinement, user stories, acceptance criteria, and sprint execution.
Data AnalyticsJob 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
Data AnalyticsAbout VerbaFlo.ai:
VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.
Role Overview:
We are seeking a Senior Business Data Analyst with strong experience in analytics, SQL, and dashboarding (preferably Metabase) who can independently lead complex analytical initiatives, translate business problems into scalable data solutions, and mentor junior analysts. This role demands someone who can think strategically, operate with high ownership, and ensure the company runs on accurate, timely, and actionable insights.
Responsibilities:
Strategic & Cross-Functional Ownership
- Partner with leadership (Product, Ops, Growth, Finance) to translate business goals into analytical frameworks, KPIs, and measurable outcomes.
- Influence strategic decisions by providing data-driven recommendations, forecasting, and scenario modeling.
- Drive adoption of data-first practices across teams and proactively identify high-impact opportunity areas.
Analytics & Dashboarding
- Own end-to-end development of dashboards and analytics systems in Metabase (or similar BI tools).
- Build scalable KPI frameworks, business reports, and automated insights to support day-to-day and long-term decision-making.
- Ensure data availability, accuracy, and reliability across reporting layers.
Advanced Data Analysis
- Write, optimize, and review complex SQL queries for deep-dives, cohort analysis, funnel performance, and product/operations diagnostics.
- Conduct root-cause analysis, hypothesis testing, and generate actionable insights with clear recommendations.
Data Infrastructure Collaboration
- Work closely with engineering/data teams to define data requirements, improve data models, and support robust pipelines.
- Identify data quality issues, define fixes, and ensure consistency across systems and sources.
Leadership & Process Excellence
- Mentor junior analysts, review their work, and establish best practices across analytics.
- Standardize reporting processes, create documentation, and improve analytical efficiency.
Core Requirements:
- 5–8 years of experience as a Business Analyst, Data Analyst, Product Analyst, or similar role in a fast-paced environment.
- Strong proficiency in SQL, relational databases, and building scalable dashboards (Metabase preferred)
- Demonstrated experience in converting raw data into structured analysis, insights, and business recommendations.
- Strong understanding of product funnels, operational metrics, and business workflows.
- Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
- Proven track record of independently driving cross-functional initiatives from problem definition to execution.
- Experience with Python, Git, or BI tools like Looker/Power BI/Tableau.
- Hands-on with data warehouses (BigQuery, Redshift, Snowflake).
- Familiarity with product analytics tools (Mixpanel, GA4, Amplitude).
- Exposure to forecasting, financial modeling, or experimentation (A/B testing).
Why Join Us?
- Work directly with top leadership in a high-impact role.
- Be part of an innovative and fast-growing AI startup.
- Opportunity to take ownership of key projects and drive efficiency.
- A collaborative, ambitious, and fast-paced work environment.
- Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.
If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!
Apply now to join VerbaFlo.AI on this journey.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon