analyst

bi analyst

business analyst

data & business process analyst Jobs in Pune

data & business process analyst

data analyst-data management and analytics-data ops/data analyst Jobs in Pune

data analyst-data management and analytics-data ops/data analyst

data analyst

Aumni

<div>
 
 Job Summary
 
 
 
 We are seeking a detail-oriented and proactive
 
 Data Analyst
 
 to support the digitisation and optimisation of insurance policy data. This role will begin with hands-on data entry and validation of customer insurance documents, with the long-term objective of contributing to process automation using machine learning (ML). The ideal candidate will bring insurance industry experience, strong analytical capabilities, and a passion for improving data quality and workflow efficiency.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Data Entry &amp; Validation
 </li>
 <li>
 Accurately extract and input data from insurance policy documents into the designated User Interface (UI).
 </li>
 <li>
 Validate data to ensure consistency, completeness, and compliance with Data Governance (DG) standards.
 </li>
 <li>
 Data Cleansing &amp; Quality Assurance
 </li>
 <li>
 Identify discrepancies, errors, or missing information and correct them as per established guidelines.
 </li>
 <li>
 Maintain high-quality standards while managing large volumes of structured and unstructured data.
 </li>
 <li>
 Process Documentation
 </li>
 <li>
 Create clear, step-by-step documentation outlining the data entry and cleansing workflow.
 </li>
 <li>
 Update process guides as tools, requirements, or workflows evolve.
 </li>
 <li>
 Automation &amp; Process Improvement
 </li>
 <li>
 Collaborate with the data and product teams to identify opportunities for automation using ML and other technologies.
 </li>
 <li>
 Provide insights to streamline workflows, enhance efficiency, and improve overall data quality.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 2&ndash;3 years of experience in the insurance industry as an Underwriting Assistant, Broker Account Manager, or similar role.
 </li>
 <li>
 Strong attention to detail with a commitment to maintaining high data accuracy.
 </li>
 <li>
 Excellent analytical and problem-solving skills.
 </li>
 <li>
 Effective communication and presentation skills.
 </li>
 <li>
 Ability to work both independently and within a team environment.
 </li>
 <li>
 A strong willingness to learn and adapt to new tools, technologies, and processes.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in Specialty &amp; Risk insurance.
 </li>
 <li>
 Prior exposure to the Marine or Aviation insurance sector.
 
 
 </li>
 </ul>
 
 About Aumni
 
 
 
 <ul>
 <li>
 Aumni, established in 2016, is a Software Services Company that partners with Product companies to build and manage their dedicated teams in India.
 </li>
 <li>
 So, while you are working for a services company, you are working within a product team and growing with them.
 </li>
 <li>
 These are not projects but product development, and we have long term (open ended) contracts with our clients. When our clients sign up with us, they are looking at a multi-year relationship. Most of our clients have been with 6,8,9 years.
 </li>
 <li>
 We do not move people across client teams and there is no concept of bench.
 </li>
 <li>
 At Aumni, we believe in quality work, and we truly believe that Indian talent is at par with global talent from US or Europe.
 </li>
 <li>
 We are 350+ and growing
 
 
 </li>
 </ul>
 
 Benefits Of Working At Aumni
 
 
 
 <ul>
 <li>
 Our award winning culture reminds us of our engineering days.
 </li>
 <li>
 Medical insurance (including Parents), Life and disability insurance
 </li>
 <li>
 24 leaves + 10 public holidays + leaves for Hospitalisation, maternity, paternity and bereavement.
 </li>
 <li>
 On site Gym, TT, Carrom, Foosball and Pool
 </li>
 <li>
 Hybrid work culture
 </li>
 <li>
 Fitness group / rewards
 </li>
 <li>
 Aumni Premier League, Aumni's Got Talent, Friday Socials, Annual parties, treks.
 
 
 </li>
 </ul>
 
 Aumni Values
 
 
 
 
 BE BOLD
 
 
 
 <ul>
 <li>
 Dare to innovate, challenge the norm and take ownership. Growth comes from courage.
 
 
 </li>
 </ul>
 
 BE TRUE
 
 
 
 <ul>
 <li>
 Act with integrity and transparency - in every task, every decision and every interaction.
 
 
 </li>
 </ul>
 
 BE KIND
 
 
 
 <ul>
 <li>
 Respect people, embrace diversity and support our culture of empathy and high collaboration.
 
 
 </li>
 </ul>
 
 BE YOU
 
 
 
 <ul>
 <li>
 Bring your authentic self to work. Have fun working, celebrate individuality and create space for everyone to thrive.
 </li>
 </ul>
</div>

Data Analyst

<div>
 <ul>
 <li>
 5 - 9 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.
 </li>
 <li>
 Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark.
 </li>
 <li>
 Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration.
 </li>
 <li>
 Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources.
 </li>
 <li>
 Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.
 </li>
 <li>
 Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.
 </li>
 <li>
 Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.
 </li>
 <li>
 Understanding of ER Diagram and Data Modeling concepts
 </li>
 <li>
 Exposure to Data quality validation
 </li>
 <li>
 Exposure to Data Management, Data Cleaning and Data Preparation
 </li>
 <li>
 Exposure to Data Schema analysis.
 </li>
 <li>
 Exposure to working in Agile framework.
 </li>
 <li>
 SQL, Pyspark, Python with Wholesale Banking Domain knowledge / Credit &amp; Lending domain knowledge.
 </li>
 <li>
 Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous
 </li>
 <li>
 Retail Credit / Traded Credit knowledge - applications will be considered.
 
 
 </li>
 </ul>
 
 Good To Have
 
 
 
 <ul>
 <li>
 BFSI Domain knowledge
 </li>
 <li>
 Data Visualization - Tableau or Qlik Sense
 </li>
 <li>
 Exposure to Hadoop, Hive and ETL.
 </li>
 <li>
 Working knowledge of any cloud services like AWS or GCP or Azure.
 </li>
 <li>
 Any relevant certifications would be a plus.
 </li>
 </ul>
</div>

Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

VOIS

<div>
 
 Who We Are
 
 
 
 
 About this Role
 
 
 
 
 What You Will Do
 
 
 
 
 Who you are
 
 
 
 
 Not a Perfect Fit?
 
 
 
 
 What&rsquo;s In It For You
 
 
 
 <ul>
 <li>
 Opportunity to work on high-impact visualisation projects that influence strategic decisions
 </li>
 <li>
 Exposure to cutting-edge tools and technologies in data analytics
 </li>
 <li>
 Collaborative work environment with cross-functional teams
 </li>
 <li>
 Platform to contribute to visualisation standards and best practices
 </li>
 <li>
 Continuous learning and development through workshops and training
 
 
 </li>
 </ul>
 
 What Skills You Will Learn
 
 
 
 <ul>
 <li>
 Advanced dashboard development and performance optimisation
 </li>
 <li>
 Data storytelling and stakeholder engagement
 </li>
 <li>
 Integration of predictive analytics into visual assets
 </li>
 <li>
 Governance and standardisation of visualisation practices
 </li>
 <li>
 Empowering users through self-service analytics enablement
 
 
 </li>
 </ul>
 
 VOIS Equal Opportunity Employer Commitment
 
 
 
 Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.
 
 
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
 
 
 We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
 
 
 With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
 
 
 
 Alert
 
 
 
 Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
 
 
 #JDEnhancedByTARA
 
 
 
 Follow us on social media and #StayConnected
 
 
 
 <ul>
 <li>
 LinkedIn
 </li>
 <li>
 Facebook
 </li>
 <li>
 Instagram
 </li>
 <li>
 You can also chat with our employees to learn more about our projects: Click here
 </li>
 </ul>
</div>

Data Visualisation Analyst - VOIS

<div>
 Key Skills: Python/PySpark, SQL, Documentation, Stakeholder Management
 
 
 
 Key Role And Responsibilities
 
 
 
 <ul>
 <li>
 Responsible for requirements gathering, documentation of solution design, documenting and executing test scenarios and performing a variety of change and implementation management activities.
 </li>
 <li>
 May work across multiple projects and programs simultaneously
 </li>
 <li>
 May be required to support change management activities spanning from early change planning and audience analysis; through to designing and delivering change interventions (e.g., communications, training, support, organization alignment); and tracking.
 </li>
 <li>
 Taking actions on change readiness, adoption, and feedback. They are also ultimately responsible for Implementation Management, including planning, controlling, and reporting on implementation of the change &lsquo;product&rsquo;, focusing on accelerating benefits and minimizing risk during deployment. Implementation activities will also include managing implementation readiness and managing the early stages of implementation (e.g. pilot).
 </li>
 <li>
 Business Analysts will often play a people / team management role within the projects / programs they work on. As members of the Global Transformation management team, they will also have line or assignment management responsibility for a group of more junior resources within their resource pool (as related to their job family).
 </li>
 <li>
 Internal clients to facilitate effective data analysis/migration and process change and ensure expectations are effectively managed.
 </li>
 <li>
 A good understanding of the control requirement surrounding data handling will be advantageous in this role
 </li>
 <li>
 Assess the operational risks as part of the analysis and implementation planning and execution in conjunction with delivery managers
 </li>
 <li>
 Adhere strictly to compliance and operational risk controls in accordance with bank and regulatory standards, policies and practices; report concerns or observations in terms of control weaknesses, compliance breaches and operational risk impact.
 </li>
 <li>
 Ensure all due diligence is performed to prevent adverse impact to customers and business operations
 </li>
 <li>
 Support documentation of risks, issues and dependencies in the RAID log for allocated projects, and ensure that these are fed into the program/PMO effectively.
 
 
 </li>
 </ul>
 
 Functional Knowledge
 
 
 
 <ul>
 <li>
 Strong Data and Business Analyst with Banking Knowledge
 </li>
 <li>
 Endorse team engagement initiatives, fostering an environment which encourages learning and collaboration to build a sense of community.
 </li>
 <li>
 Create environments where only the best will do and high standards are expected, regularly achieved and appropriately rewarded; encourages and supports continual improvements within the team based on ongoing feedback.
 </li>
 <li>
 Develop a network of professional relationships across the department and our stakeholders to improve collaborative working and encourage openness - sharing ideas, information and collateral.
 </li>
 <li>
 Encourage individuals to network and collaborate with colleagues beyond their own business areas and/or the Group to shape change and benefit the business and its customers.
 </li>
 <li>
 Must demonstrate strong business knowledge and sound business sense, and stay abreast of the industry, business-wise and technology-wise
 </li>
 <li>
 Stakeholder complexity &ndash; Business Analysts will often need gather requirements and agree designs across stakeholders, dealing with different interests and resolving disagreements and conflicts, and sometimes needing to challenge poor requirements and design decisions
 </li>
 <li>
 Solid working experience in data &amp; analytics field Demonstration of understanding in technology trends, methodologies, and tools for data &amp; analytics
 </li>
 <li>
 Experienced in technical product development and delivery using various technologies and can explain how they achieved this and the technologies used
 </li>
 <li>
 Understand and able to apply project management principles and portfolio management
 </li>
 <li>
 Communicate effectively with all levels of stakeholders, team management and conflict management skills
 </li>
 <li>
 Experienced in presenting to senior stakeholder in both business and technology
 </li>
 <li>
 Experienced on agile projects and understand the application of agile
 </li>
 <li>
 Understanding of how DevOps works and how to utilize in the agile process.
 </li>
 </ul>
</div>

Associate - Business Analyst-Business Analysis-Business Analyst

<div>
 
 Job Reference #
 
 
 328775BR
 
 
 
 Job Type
 
 
 Full Time
 
 
 
 Your role
 
 
 Are you interested in pursuing your career in Asset Management? Does working in a data driven business excite you? Do you want to be part of the AI and process automation journey by innovating and simplifying workflows and solutions across various operation functions to improve efficiency, ensure compliance, and boost performance?
 
 
 We&rsquo;re looking for someone to work with a cross-functional team to:
 
 
 <ul>
 <li>
 Act as a data and business process analyst spot inefficiencies and analyze existing workflows and business processes to identify opportunities for simplification within operations
 </li>
 <li>
 Use data analysis tools, process modeling, and problem-solving skills to identify bottlenecks, redesign processes, and implement changes that align with business goals
 </li>
 <li>
 Collaborate with various teams to understand their needs and analyze existing workflows to identify areas where automation can significantly improve their productivity. Design the target operating model that will transform our data and operations landscape.
 </li>
 <li>
 Leverage data analytics to identify patterns, trends, and anomalies in data, providing insights that drive business decisions and improve data quality.
 </li>
 <li>
 Contribute to the growth of AM Operations by researching and exploring AI/automation tools and technologies to continuously improve what we do
 </li>
 <li>
 Other responsibilities include data collection and analysis, process mapping, requirements gathering, stakeholder management, process implementation, and change management
 
 
 </li>
 </ul>
 
 Your team
 
 
 You'll be working in the Chief Data Office and Traditional Operations within UBS Global Asset Management. We're responsible for defining data strategy and supporting the management of core data sets used across Asset Management. Our team is structured to encompass several functions, including Data Strategy and Delivery, Data Mastering and Governance, Data Architecture, Data Analytics, and Operations. We're based in New York City, Zurich, and Pune.
 
 
 
 Your expertise
 
 
 You have:
 
 
 <ul>
 <li>
 Minimum of 8 years of hands-on experience in data and business analysis with demonstrated experience in operation process optimization. Ideally within the financial industry, with a focus on Asset Management
 </li>
 <li>
 Proficiency with SQL and automation/analytics tools. Strong command of SQL for data extraction, analysis, and reporting
 </li>
 <li>
 Proven ability in data and process modeling and experience working with complex datasets to support decision-making and data architecture design
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to interpret and leverage AM data and AI capabilities to drive process improvements.
 </li>
 <li>
 Detail-oriented and solution-focused, with excellent communication skills and a proactive approach
 </li>
 <li>
 Understanding of Agile software methodology and modern CI/CD practices
 </li>
 <li>
 Visionary mindset with passion for innovation and cutting-edge technologies, particularly in driving the adoption of AI and GenAI in the data and operations space
 
 
 </li>
 </ul>
 
 About Us
 
 
 UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.
 
 
 We have a presence in all major financial centers in more than 50 countries.
 
 
 
 Join us
 
 
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 
 
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 
 
 
 Disclaimer / Policy Statements
 
 
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
</div>

Data & Business Process Analyst

Workday

<div>
 
 Your work days are brighter here.
 
 
 
 We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.
 
 
 
 About The Team
 
 
 
 The team will be made up of 6 legal analysts and 5 business analysts who will support CLM/CI customer implementation projects. Legal
 
 
 Analysts will perform QC to validate and correct AI model extracts to ensure accuracy. In addition, they will configure Custom AI models for
 
 
 customers. Business Analysts will gather process requirements, configure, and test pre-signature CLM workflows for customers. They will
 
 
 support delivery teams in North Amer and Dublin, including direct interaction with customers.
 
 
 
 About The Role
 
 
 
 
 We are seeking an experienced contract data analyst with skills in preparing, analyzing and assessing data for AI readiness, and building AI models to achieve business outcomes. This team is a critical component of the successful execution of Workday CLM&rsquo;s (Evisort&rsquo;s) mission to deliver high-quality Contract and Document Intelligence solutions.
 
 
 
 
 In this role, you will:
 
 
 
 <ul>
 <li>
 Perform Document Review (Quality Control)
 </li>
 <li>
 Assess and remediate metadata
 </li>
 <li>
 Identify prevailing contract terms and create contract hierarchies
 </li>
 <li>
 Collaborate with customers to build contract playbooks, include guidance on configuring clause libraries, annotating contract templates, defining logic for AI-based data point identification and extraction
 </li>
 <li>
 Build custom AI prompts to extract specific data from fields and clauses
 
 
 </li>
 </ul>
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Document &amp; Contract Analysis: Expertise in sourcing, pulling, and reviewing relevant sample documents, such as contracts or legal materials to extract and label key data points to inform project work and ensure accuracy.
 </li>
 <li>
 Data Quality Assurance: Ability to audit and assess the accuracy, completeness, and consistency of contract data to ensure accuracy of AI models. Includes ensuring that key contract terms and metadata are properly extracted and standardized.
 </li>
 <li>
 Data Mapping &amp; Migration: Experience with migrating and cleaning contract data from legacy systems into modern CLM platforms. This requires skills in mapping data fields, transforming data formats, and ensuring consistency.
 </li>
 <li>
 Document Management &amp; Data Entry: Skilled in handling both out-of-the-box (OOTB) fields and custom data fields with precision, ensuring all information is accurately entered and formatted.
 </li>
 <li>
 Data Remediation: Identifying issues in contract data (e.g., missing clauses, incorrect terms, or inconsistencies) and taking corrective action. This may involve manual intervention or automation tools.
 </li>
 <li>
 Pattern Recognition &amp; Categorization: Skilled in efficiently identifying, categorizing, and organizing data patterns for the purpose of summarizing &ldquo;failures&rdquo;, and contributing to the effective development and training of models.
 </li>
 <li>
 Prevailing Terms and Hierarchy: Identifying and mapping prevailing terms, and organizing contracts in family hierarchy.
 </li>
 <li>
 Data Labeling &amp; Annotation: Proficient in accurately labeling and annotating contract templates aligned with customer&rsquo;s requirements, which is used to generate draft agreements and inform the configuration of Custom AI models.
 </li>
 <li>
 Build generative AI models Configure Custom AI models to extract specific contract data from fields and clauses.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 
 About You
 
 
 
 <ul>
 <li>
 Contract Drafting and Negotiation: Experience with the practical elements of contracts, including the ability to understand and assess risk in various B2B contract types (e.g., commercial, procurement, sales, and partnership agreements).
 </li>
 <li>
 Legal Data Extraction and Labeling: Proficiency in identifying, extracting, and accurately labeling key clauses and field-level data from legal documents for the purpose of training AI models.
 </li>
 <li>
 Contractual Hierarchy and Prevailing Terms: The ability to organize and map complex contract relationships, including identifying prevailing terms within a group of related contracts.
 </li>
 <li>
 Quality Control in a Legal Context: Experience with auditing the accuracy and consistency of extracted legal data to ensure it meets high standards for legal and business use. This includes a deep understanding of what constitutes accurate and complete contract information.
 </li>
 <li>
 Process Analysis for Legal Operations: Expertise in analyzing existing legal or contracting processes to identify opportunities for automation, create workflow designs, and capture business requirements. (Desired by not required)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Education: A Bachelor's degree is required, and a Juris Doctor (J.D.) degree, Master of Laws (LL.M.), or a background in legal studies is highly desirable.
 </li>
 <li>
 AI &amp; Data Project Experience: At least 3 years of experience in a role focused on AI and data projects, with a strong background in data analysis, data remediation, and the building of AI models.
 </li>
 <li>
 Contract Lifecycle Management (CLM) Expertise: A minimum of 3 years of experience working directly within the CLM or Contract Intelligence (CI) domain. This should include hands-on experience in contract analysis and process analysis.
 </li>
 <li>
 External Stakeholder Experience: A minimum of 5 years of experience delivering services to external clients or stakeholders.
 </li>
 <li>
 Workflow Automation: At least 3 years of experience in analyzing, configuring, and testing workflows to automate complex contracting processes (desired but not required).
 
 
 </li>
 </ul>
 
 Other Qualifications
 
 
 
 <ul>
 <li>
 Attention to Detail &amp; Accuracy: A high level of precision in tasks such as data labeling, metadata remediation, and document review is critical for ensuring the accuracy of AI models and data.
 </li>
 <li>
 Adaptability &amp; Problem-Solving: The ability to pivot quickly in response to changes in project scope, client needs, or technical requirements. This includes a proactive approach to identifying and solving data issues.
 </li>
 <li>
 Effective Communication: Strong verbal and written communication skills to effectively collaborate with internal teams, as well as to understand business requirements from clients and legal professionals.
 </li>
 <li>
 Pattern Recognition &amp; Analytical Skills: The capacity to efficiently identify patterns in contract data, summarize "failures," and use these insights to contribute to the development and training of AI models.
 
 
 </li>
 </ul>
 
 
 Time Management &amp; Prioritization:
 
 The ability to manage multiple, overlapping projects with variable timelines&mdash;ranging from a few days to several weeks&mdash;and to efficiently prioritize tasks and resources to meet project deadlines.
 
 
 
 
 Our Approach to Flexible Work
 
 
 
 With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply
 
 spend at least half (50%) of our time each quarter in the office or in the field
 
 with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
 
 
 
 Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
 
 
 
 At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
 
 
 Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
 
 
 In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
 
 
 ,
 
 
</div>

Legal Analyst - AI Contracts

<div>
 
 
 YOUR ROLE AND RESPONSIBILITIES
 
 
 
 
 You&rsquo;ll deliver short and long term projects that support the business strategy. This will involve:
 
 
 <ul>
 <li>
 Translate business needs into clear, actionable technical specifications for data and BI solutions.
 </li>
 <li>
 Independently access, prepare, and structure data from various sources.
 </li>
 <li>
 Perform necessary data transformations and modeling within BI tools.
 </li>
 <li>
 Design, develop, and maintain high-impact dashboards across multiple functions.
 </li>
 <li>
 Ensure accuracy and consistency of data by applying governance standards, validating sources, and configuring BI platforms appropriately.
 </li>
 <li>
 Communicate complex data insights clearly and effectively to non-technical stakeholders.
 </li>
 <li>
 Facilitate data-driven decision-making by translating analytics into strategic recommendations.
 </li>
 <li>
 Create and maintain comprehensive technical and user-facing documentation.
 </li>
 <li>
 Support the standardization of BI processes, methodologies, and best practices.
 </li>
 <li>
 Guide and support peers on complex tasks or projects.
 </li>
 <li>
 Actively contribute to the BI community by maintaining shared documentation and promoting knowledge-sharing across teams.
 
 
 </li>
 </ul>
 
 
 HOW TO SUCCEED / YOUR PROFILE
 
 
 
 
 We&rsquo;re looking for someone who can come up with simple solutions to complex problems. To join us you need:
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Business Analytics, Computer Science, or a related field (Master&rsquo;s preferred).
 </li>
 <li>
 Proven experience in business intelligence, data analysis, or a related role.
 </li>
 <li>
 5+ years of experience in BI platforms such as Tableau, or Power BI.
 </li>
 <li>
 Strong SQL skills and familiarity with data modeling best practices are highly desirable.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Ability to translate business needs into scalable BI solutions.
 </li>
 <li>
 Will need to work in afternoon shift 3 time per week.
 
 
 </li>
 </ul>
 
 
 WHAT&rsquo;S IN IT FOR YOU
 
 
 
 
 You&rsquo;ll be part of a people-centric culture, where your well-being matters. Our comprehensive package offers standard benefits such as medical, dental, and vision, plus unique benefits such as our onsite health clinic and our incredible dollar for dollar 401(k) match up to 6%. At our HQ, there&rsquo;s an on-site preschool, restaurant and where you can get active or enjoy our regular team get-togethers.
 
 
 
 
 We Also Offer:
 
 
 
 
 <ul>
 <li>
 Opportunities for professional development, including access to LinkedIn Learning and many in-house/external training courses
 
 
 </li>
 </ul>
 
 
 WHAT&rsquo;S IN IT FOR YOU
 
 
 
 
 <ul>
 <li>
 A family atmosphere , people-centric culture, where your emotional and physical well-being matters.
 </li>
 <li>
 A company of great colleagues with a global mindset, where you feel welcomed from day one.
 </li>
 <li>
 A competitive salary , medical insurance for family , retirement benefits Healthy work &ndash; life balance
 </li>
 <li>
 Internal career opportunities, professional development, including access to LinkedIn Learning and many in-house/external training courses
 </li>
 <li>
 Job security working for a global company with strong presence &amp; commitment in India.
 
 
 </li>
 </ul>
 
 PEOPLE ARE AT OUR HEART
 
 
 
 <ul>
 <li>
 TVH is a global business with a family atmosphere, where people are at the center. We value clarity, mutual respect, kindness and open communication. Our people are down-to-earth, easy to work and engage with. We welcome differences and celebrate new ideas.
 
 
 </li>
 </ul>
 
 
 ABOUT TVH
 
 
 
 
 <ul>
 <li>
 TVH is a parts specialist for quality parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation.
 </li>
 </ul>
</div>

BI Analyst

Explore 85+ Data analyst in Pune this November. Find roles across top companies and apply now to boost your career.