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business analyst - data & ai

business data analyst

Allucent

<div>
 
 The IT Business Analyst will play a key role in advancing Allucent's Data and Development initiatives. This position will focus on gathering, analyzing, and translating business requirements into functional and technical specifications that support data integration, analytics, AI use cases, and enhancements to internally developed applications.
 
 
 
 
 The Business Analyst will collaborate with global business stakeholders, data engineers, developers, and AI specialists to ensure solutions meet business objectives and regulatory expectations. The ideal candidate will have a strong analytical mindset and an interest in how data and artificial intelligence can drive operational insights and efficiency.
 
 
 
 
 
 
 Requirements
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with business stakeholders, developers, and data engineers to elicit, document, and validate detailed business and functional requirements.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Translate business needs into user stories, process flows, and acceptance criteria to guide development and testing.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with data and AI teams to define requirements for data pipelines, model inputs/outputs, and user interfaces that support AI-enabled workflows.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze existing systems and data flows to identify opportunities for automation, predictive analytics, and process optimization using AI solutions.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support data mapping, interface requirements, and reporting specifications for analytics and AI-driven insights.
 
 
 
 Project Support
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with project managers to ensure project scope, milestones, and deliverables are clearly defined and aligned with business goals.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Participate in sprint planning, backlog refinement, and system demos to ensure clear communication between business and development teams.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support testing, validation, and user acceptance for system enhancements and new features.
 
 
 
 Documentation &amp; Communication
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintain clear and traceable documentation, including business process maps, requirements traceability matrices, and data flow diagrams.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare user guides, training materials, and support documentation for internal users, including those adopting AI-driven tools.
 
 
 
 
 
 Requirements &amp; Analysis
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with business stakeholders, developers, and data engineers to elicit, document, and validate detailed business and functional requirements.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Translate business needs into user stories, process flows, and acceptance criteria to guide development and testing.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with data and AI teams to define requirements for data pipelines, model inputs/outputs, and user interfaces that support AI-enabled workflows.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze existing systems and data flows to identify opportunities for automation, predictive analytics, and process optimization using AI solutions.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support data mapping, interface requirements, and reporting specifications for analytics and AI-driven insights.
 
 
 
 
 
 Project Support
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with project managers to ensure project scope, milestones, and deliverables are clearly defined and aligned with business goals.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Participate in sprint planning, backlog refinement, and system demos to ensure clear communication between business and development teams.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support testing, validation, and user acceptance for system enhancements and new features.
 
 
 
 
 
 Documentation &amp; Communication
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintain clear and traceable documentation, including business process maps, requirements traceability matrices, and data flow diagrams.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare user guides, training materials, and support documentation for internal users, including those adopting AI-driven tools.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Communicate effectively across teams, translating complex technical and AI concepts into business-friendly language.
 
 
 
 
 
 Quality &amp; Compliance
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure requirements and solutions comply with applicable GxP, data privacy, and security standards.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support data integrity and governance practices across projects.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contribute to continuous improvement of business analysis methodologies and documentation standards.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Review, improve and evaluate IT processes and procedures within the Quality Management System.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contribute to other areas of business as required.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; No major travel required.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Bachelor's degree in Information Technology, Computer Science, Business, or a related field.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4-7 years of experience as a Business Analyst in a life sciences, CRO, or technology organization.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience supporting data analytics or AI-related initiatives preferred (e.g., requirements for predictive models, natural language processing, or automation workflows).
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong understanding of software development lifecycle (Agile and Waterfall).
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Exposure to APIs, data pipelines, and reporting/analytics tools is a plus.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Business Analysis certification (e.g., CBAP, CCBA) is a plus.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Demonstrates strong analytical and problem-solving abilities, with the capability to translate complex business needs into actionable technical requirements.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Communicates effectively across technical and business teams, ensuring clarity and alignment throughout project lifecycles.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Understands data and AI concepts, including automation, predictive analytics, and how these technologies can enhance business processes.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Produces thorough and accurate documentation, including user stories, process flows, and functional specifications.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Adapts quickly to shifting priorities and works effectively in a fast-paced, global team environment.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintains a strong commitment to data integrity, compliance, and delivering high-quality outcomes that support business objectives.
 
 
 
 
 
 
 Benefits
 
 
 
 
 
 Benefits of working at Allucent include:
 
 
 <ul>
 <li>
 Comprehensive benefits package per location
 </li>
 <li>
 Competitive salaries per location
 </li>
 <li>
 Departmental Study/Training Budget for furthering professional development
 </li>
 <li>
 Flexible Working hours (within reason)
 </li>
 <li>
 Leadership and mentoring opportunities
 </li>
 <li>
 Participation in our enriching Buddy Program as a new or existing employee
 </li>
 <li>
 Internal growth opportunities and career progression
 </li>
 <li>
 Financially rewarding internal employee referral program
 </li>
 <li>
 Access to online soft-skills and technical training via GoodHabitz and internal platforms
 </li>
 <li>
 Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects
 </li>
 <li>
 Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees
 </li>
 </ul>
 
 
 
 
 Disclaimers:
 
 
 
 
 
 
 "The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively "Allucent"). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources."
 
 
</div>

Business Analyst - Data & AI

VEGROW

<div>
 
 
 About Vegrow:
 
 
 
 Vegrow is on a mission to revolutionize the $60B fresh fruit market! We&rsquo;re a fast-growing, VC-backed agri-tech startup founded by IIT alumni who&rsquo;ve built and scaled with companies like ITC, AgroStar, UrbanCompany, and Chronus. We partner with farmers, aggregate supply, and connect them directly to organized demand through tech-led solutions &mdash; driving efficiency, transparency, and profitability across the fruit value chain.
 
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 We&rsquo;re looking for a
 
 Data Analyst
 
 to join our
 
 Business Finance
 
 team &mdash; someone who loves diving deep into data, connecting dots, and converting numbers into business impact.
 
 
 This isn&rsquo;t a &ldquo;get a request &rarr; build a report&rdquo; role. We want someone who can
 
 think independently
 
 ,
 
 spot opportunities
 
 , and
 
 add value proactively
 
 by working shoulder-to-shoulder with the Business and BizFin teams.
 
 
 If you love solving open-ended problems and using data to tell stories that move the business forward &mdash; we want you!
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Work closely with Business &amp; BizFin teams to drive data-backed decisions.
 </li>
 <li>
 Build and maintain dashboards and reports that actually make an impact.
 </li>
 <li>
 Proactively explore data to uncover insights, trends, and hidden opportunities.
 </li>
 <li>
 Translate business questions into analytical models and crisp insights.
 </li>
 <li>
 Handle ad-hoc analyses with accuracy, speed, and attention to detail.
 </li>
 <li>
 Ensure data sanity, consistency, and integrity across all reporting layers.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Bring:
 
 
 <ul>
 <li>
 0&ndash;4 years of experience in data analytics or business analytics.
 </li>
 <li>
 Strong SQL skills (you should be able to write and optimize complex queries).
 </li>
 <li>
 Excellent Excel skills and experience with at least one BI tool (Tableau, Power BI, Looker Studio, etc.).
 </li>
 <li>
 Experience with Python or another scripting language for automation or data manipulation.
 </li>
 <li>
 Sharp analytical mindset, curiosity to explore, and the ability to simplify complex data stories.
 </li>
 <li>
 Great communication skills &mdash; you can make insights simple, visual, and actionable.
 </li>
 <li>
 Self-starter attitude &mdash; someone who figures things out, not just waits for instructions.
 </li>
 </ul>
 
 
 
 
 
 Cherry on Top
 
 
 <ul>
 <li>
 Experience with
 
 Zoho Analytics
 
 and/or
 
 Anaplan
 
 .
 </li>
 <li>
 Prior exposure to
 
 Business Finance / FP&amp;A
 
 setups.
 </li>
 <li>
 Comfort working in
 
 fast-paced, high-growth startup environments
 
 .
 </li>
 </ul>
 
 
 
 
 
 Join us if you&rsquo;re excited to make data a competitive advantage at Vegrow &mdash; and grow your career while helping us grow India&rsquo;s fruit economy.
 
 
</div>

Data Analyst

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 Job Title:
 
 Data Analyst, Legal Analytics
 
 
 
 Reports to:
 
 Sr. Analyst, Legal Analytics, Data Governance_NA
 
 
 
 Location:
 
 Bangalore, India
 
 
 
 Primary Responsibilities
 
 
 
 Responsibilities include:
 
 
 <ul>
 <li>
 Main responsibility is supporting various Legal teams including Litigation, Government Relations, Criminal and Regulatory Investigations (CRI), etc. Responsibilities include running analytical projects, developing dashboards and ad-hoc queries and handling existing recurring reporting/dashboards which set the foundation for analytics and business insights used by the team and business partners.
 </li>
 <li>
 Apply your SQL coding technical expertise to discover, extract and validate data from various data sources and build actionable reports and analysis.
 </li>
 <li>
 Update and maintain SQL codes to conform to organization changes, deprecation schedules, and new developments.
 </li>
 <li>
 Demonstrated ability to work with large and varied data sources to make reporting and analysis reliable and efficient.
 </li>
 <li>
 Develop and improve Python scripts as needed for data processing, data cleaning, and data extraction.
 </li>
 <li>
 Build and improve Tableau dashboards or excel reports, whichever is appropriate and suits the requestors.
 </li>
 <li>
 Deliver high-impact, data-driven insights, recommendations, and metrics to eBay&rsquo;s Legal teams.
 </li>
 <li>
 Effectively communicate results to Legal partners and multi-functional groups.
 </li>
 <li>
 Collaborate with eBay&rsquo;s Policy, Rules, and partner Analytics teams globally to ensure alignment on metrics and analytical methodologies and to minimize duplication of efforts.
 
 
 
 </li>
 </ul>
 
 Characteristics
 
 
 
 <ul>
 <li>
 Excellent business judgment, analytical and problem-solving skills, and experience applying these skills to analyze large, sophisticated, multifaceted data sets.
 </li>
 <li>
 Good understanding of methods used to define and analyze data requirements needed to support the business and statistical analysis.
 </li>
 <li>
 Proven team player and consensus builder with proficient communication and coordination skills.
 </li>
 <li>
 Team member with good interpersonal abilities in a multi-cultural setting, self-assurance, positive outlook, and good decision-making.
 </li>
 <li>
 Clear passion for eBay&rsquo;s mission and business objectives.
 </li>
 <li>
 Ability to multi-task and prioritize work in a fast-paced and constantly evolving environment
 </li>
 <li>
 Mental flexibility, including ability to dive very deep into details of the data to ensure quality, while understanding the big picture objectives of a given project.
 
 
 
 </li>
 </ul>
 
 Skills &amp; Experiences
 
 
 
 <ul>
 <li>
 5+ years related experience in Computer Science/Analytics/Consulting, (Master&rsquo;s degree preferred).
 </li>
 <li>
 Must have a demonstrable understanding of database / data modeling tools and concepts. Experience with database development and data warehousing concept/tools are required.
 </li>
 <li>
 Strong SQL skills (on Hive/SPARK environment) for querying and maintaining databases.
 </li>
 <li>
 Expert Excel (e.g., look-up functions, pivot tables, sophisticated functions, statistics).
 </li>
 <li>
 Experience with Tableau required.
 </li>
 <li>
 Python programming experience preferred.
 </li>
 <li>
 HADOOP experience will be advantageous.
 </li>
 <li>
 Experience with analyzing customer data in financial services, Internet, or top-tier consumer-focused company (in technology, consumer goods or retail domain) a plus.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Data Analyst, Legal Analytics

M3 USA

<div>
 
 
 
 About M3:
 
 
 A Japanese global leader in the provision of ground-breaking and innovative technological and research solutions to the healthcare industry. The M3 Group operates in the US, Asia, and Europe with over 5.8 million physician members globally via its physician websites which include mdlinx.com, m3.com, research.m3.com, Doctors.net.uk, medigate.net, and medlive.cn. M3 Inc. is a publicly traded company on the Tokyo Stock Exchange (jp:2413, NIKKEI 225) with subsidiaries in major markets including the US, UK, Japan, South Korea, and China, and in 2020 was ranked in Forbes&rsquo; Global 2000 list. The M3 Group provides services to healthcare and the life science industry. In addition to market research, these services include medical education, ethical drug promotion, clinical development, job recruitment, and clinic appointment services. M3 has offices in Japan, UK, France, Germany, Brazil, Sweden, China, USA, and South Korea, as well as India.
 
 
 
 
 Due to our continued growth, we are hiring for a
 
 Data Analyst
 
 to join M3 Global Research, an M3 company.
 
 
 
 
 
 About the Business Unit:
 
 
 
 
 
 M3 Global Research, part of M3 Inc., provides the most comprehensive and highest quality market research recruitment and support services available to the industry with relationships reaching respondents in more than 70 countries worldwide.
 
 
 
 
 M3 Global Research maintains ISO 26362 and 27001 certifications with the highest quality data collection and project management capabilities that cover the spectrum of quantitative and qualitative techniques utilized today. M3 services incorporate all of the most advanced statistical and attitudinal methodologies allowing clients to provide world-class offerings and support services to their end-client customers throughout multiple industry sectors.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Essential Duties and Responsibilities
 
 
 
 Including, but not limited to the following:
 
 
 
 <ul>
 <li>
 Support the day-to-day data needs of internal clients by:
 <ul>
 <li>
 Clarifying requests as needed
 </li>
 <li>
 Preparing the data
 </li>
 <li>
 Performing list matches using a mixture of in house developed tools and MS Excel
 </li>
 <li>
 Reporting upon the results
 </li>
 </ul>
 </li>
 <li>
 Work directly with internal clients on the above
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Sciences/B.Tech/MCA/MCA
 </li>
 <li>
 Market research experience preferred
 </li>
 <li>
 Knowledge of SQL a plus
 </li>
 <li>
 Client Service experience a plus
 </li>
 <li>
 Advanced Excel &ndash; the ability to develop PivotTables/Charts as well as complex formulas
 </li>
 <li>
 Candidates must be customer service oriented with a positive, can-do attitude
 </li>
 <li>
 Organized, self-motivated, and self-directed
 </li>
 <li>
 Strong understanding of data structure and management
 </li>
 <li>
 Excellent interpersonal communication skills &ndash; both verbal and written
 </li>
 <li>
 Exceptional ability to multi-task and balance multiple projects and priorities
 </li>
 <li>
 Exceptional time management, organizational skills, attention to detail and ability to multitask
 </li>
 <li>
 Excellent attention to detail and commitment to accuracy and integrity of information
 </li>
 <li>
 Experience working within a market research company or other type of quantitative research organization desirable, but not required
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 We are targeting candidates located in India for this opportunity. Please submit all resumes in English.
 
 
 
 
 
 
 Must be available to work US EST time zone hours
 
 
 
 
 
 *M3 reserves the right to change this job description to meet the business needs of the organization
 
 
 
 
 
 
</div>

Gainwell Technologies

<div>
 
 Summary
 
 
 
 As a
 
 Data Analyst
 
 at Gainwell, you can contribute your skills as we harness the power of technology. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) &amp; Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to analysis of the application development and does not include handling or processing of sensitive health information. Here are the details on this position.
 
 
 
 Your role in our mission
 
 
 
 <ul>
 <li>
 Designs, implements and maintains access methods, access time, validation checks, organization, documentation, and statistical methods to ensure that requirements are satisfied.
 </li>
 <li>
 Review requirements and documents according to required standards by utilizing prescribed tools and methods to ensure that design and implementation are according to company guidelines and specifications.
 </li>
 <li>
 Provides overall monitoring of standards and procedures and suggests revisions when necessary to ensure updated guidelines to meet changing demands and consistency.
 </li>
 <li>
 Should have experience in building analytical dashboards/reporting (Experience in Finance domain is desirable).
 </li>
 <li>
 Investigates and resolves technical matters of significance by analysing and determining possible causes to ensure stakeholders satisfaction.
 </li>
 <li>
 Provides work direction and guidance to less experienced personnel to ensure that specifications are met.
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 Seeking good analytical resources with at least 4 years of experience of working on analytical scorecards/dashboards.
 </li>
 <li>
 Experience in building dashboards and having working knowledge in analytical packages like Python, Tableau, SQL, Power BI etc and Data Handling are desirable.
 </li>
 <li>
 Decent knowledge of ML/AI models will be an added advantage.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent combination of education and experience.
 </li>
 <li>
 Experience working with statistical software and product configurations.
 </li>
 <li>
 Experience working with relevant programming languages and RDMS for general software development.
 
 
 </li>
 </ul>
 
 What You Should Expect In This Role
 
 
 
 <ul>
 <li>
 Opportunity to work on challenging, impactful projects leveraging the latest technologies.
 </li>
 <li>
 A collaborative and supportive team environment where your contributions are recognized.
 </li>
 <li>
 Access to resources and opportunities for continuous learning and skill development.
 </li>
 <li>
 Recognition for your technical expertise and problem-solving abilities.
 </li>
 <li>
 Career growth in a fast-paced, innovative organization.
 </li>
 <li>
 Work Environment: Hybrid/Remote.
 </li>
 <li>
 Work Hours: The working hours for this role are 1:00 PM to 10:00 PM (IST). There may be few scenarios where you may have to stretch in case of important/urgent calls.
 </li>
 </ul>
</div>

Data Analyst (SQL, Python and Power BI)

Cargill

<div>
 Job Purpose and Impact
 
 
 <ul>
 <li>
 The Professional, Data &amp; Analytics Reporting job is responsible for collecting, processing, and analyzing moderately complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With limited supervision, this job collaborates with cross functional teams to ensure data accuracy and integrity performing data and statistical analysis using various programming languages. This job supports the effective presentation of data findings to partners to meet business objectives.
 
 
 </li>
 </ul>
 Key Accountabilities
 
 
 <ul>
 <li>
 DATA COLLECTION &amp; ANALYSIS: Gathers, processes, prepares, and analyzes moderately complex datasets to extract significant insights, develop and maintain automated reporting systems to streamline data analysis.
 </li>
 <li>
 REPORTING &amp; VISUALIZATION: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.
 </li>
 <li>
 STATISTICAL ANALYSIS: Supports statistical analysis execution to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
 </li>
 <li>
 PROCESS IMPROVEMENT: Implements found opportunities to improve data collection and reporting processes and applies standard methodologies for data management and reporting.
 </li>
 <li>
 COLLABORATION: Works closely with multi-functional teams to support data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to help ensuring data integrity and accuracy.
 </li>
 <li>
 DATA ANALYSIS: Conducts moderately complex data analyses to uncover trends, patterns, and actionable insights for decision making.
 </li>
 <li>
 QUALITY ASSURANCE &amp; DATA VALIDATION: Performs moderately complex reports and analyses in support of the accuracy, consistency, and security of data.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 2 years of relevant experience (typically 3+ years).
 </li>
 <li>
 Proficient in requirement gathering and translating technical findings into business insights.
 </li>
 <li>
 Programming skills in Python or R for data manipulation.
 </li>
 <li>
 Good SQL expertise for data handling.
 </li>
 <li>
 Hands-on experience with reporting and visualization tools (Power BI or similar).
 </li>
 <li>
 Effective collaboration with business users and strong communication skills.
 </li>
 </ul>
</div>

Consultant, Data Analytics & Reporting - Ag & Trading

Kuku FM

<div>
 
 About The Role
 
 
 
 We are looking for a detail-oriented Data Analyst to join our core AI/ML team. The ideal candidate will work closely with the AI/ML Lead, business teams, and other verticals to prepare high-quality datasets, generate insights, build basic statistical/heuristic models, and support ongoing ML initiatives. This role is perfect for someone who enjoys combining strong analytical skills with hands-on data work and business understanding.
 
 
 Key Responsibilities
 
 
 Data Preparation &amp; Analysis
 
 
 <ul>
 <li>
 Collect, clean, prepare, and structure data for ML training and analytical use cases.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends, patterns, outliers, and data issues.
 </li>
 <li>
 Build and maintain dashboards, KPIs, and reports for product and business teams.
 
 
 </li>
 </ul>
 Support for ML Team
 
 
 <ul>
 <li>
 Work with the ML Lead to generate feature datasets, validate data assumptions, and evaluate model outputs.
 </li>
 <li>
 Build basic heuristic rules, logistic regression models, and preliminary statistical models when required.
 </li>
 <li>
 Conduct data validations, labeling assistance, and sampling for ML experiments.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Engage with business stakeholders, product managers, and operations teams to translate requirements into data deliverables.
 </li>
 <li>
 Communicate insights and findings in a clear, structured manner to technical and non-technical teams.
 </li>
 <li>
 Act as a central resource for data-driven decision-making across multiple verticals.
 
 
 </li>
 </ul>
 Data Quality, Governance &amp; Documentation
 
 
 <ul>
 <li>
 Ensure data accuracy, consistency, and completeness across datasets.
 </li>
 <li>
 Maintain clear documentation of data sources, definitions, and processes.
 </li>
 <li>
 Work with engineering teams to fix broken pipelines, incorrect metrics, or data anomalies.
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a Data Analyst, Business Analyst, or Associate Data Scientist.
 </li>
 <li>
 Strong hands-on skills in:
 </li>
 <ul>
 <li>
 SQL (advanced level)
 </li>
 <li>
 Python (Pandas, NumPy, basic scikit-learn)
 </li>
 <li>
 Excel/Google Sheets
 </li>
 </ul>
 <li>
 Experience with BI tools such as Superset
 </li>
 <li>
 Solid understanding of:
 </li>
 <ul>
 <li>
 Descriptive statistics
 </li>
 <li>
 Basic probabilistic models
 </li>
 <li>
 Logistic regression, clustering concepts
 </li>
 </ul>
 <li>
 Ability to work with large datasets and perform efficient data wrangling.
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Exposure to ML pipelines, feature engineering, or model evaluation basics.
 </li>
 <li>
 Familiarity with A/B testing, experiments, hypothesis testing.
 </li>
 <li>
 Experience with data warehousing tools (BigQuery, Databricks, Snowflake).
 </li>
 <li>
 Basic familiarity with heuristic-based decision systems or rule engines.
 </li>
 <li>
 Knowledge of scripting automation for recurring reports.
 </li>
 <li>
 Understanding of business domains like content, fintech, OTT, growth, or operations.
 
 
 </li>
 </ul>
 
 Preferred Tools &amp; Technologies
 
 
 
 Data Tools: SQL,Python, Pandas, NumPy
 
 
 Visualization: Tableau, Power BI, Looker
 
 
 ML Basics: Scikit-learn, Statsmodels
 
 
 Data Warehousing: BigQuery, Databricks, Athena
 
 
 Workflow: Airflow
 
 
 Version Control: Git
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Statistics, Engineering, Computer Science, Economics, or related fields.
 </li>
 <li>
 Certifications in data analysis, SQL, or ML fundamentals are a plus.
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to work closely with a high-performing AI/ML team.
 </li>
 <li>
 Opportunity to transition into a ML engineer based on skill set, learning curve and performance.
 </li>
 <li>
 Exposure to end-to-end ML lifecycle: data prep &rarr; experimentation &rarr; deployment.
 </li>
 <li>
 Work on diverse problem statements across multiple business verticals.
 </li>
 <li>
 Competitive compensation and benefits package.
 </li>
 <li>
 A collaborative and growth-driven environment.
 
 
 </li>
 </ul>
 Success Metrics
 
 
 <ul>
 <li>
 Delivery of clean, well-structured datasets for ML model development.
 </li>
 <li>
 Improved data quality, reduced errors, and reliable metric reporting.
 </li>
 <li>
 Clear, actionable insights delivered to business and product teams.
 </li>
 <li>
 Efficient support for ML workflows (feature generation, sampling, validation).
 </li>
 <li>
 Strong documentation and repeatable processes for analytics.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture, and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 
 📢 Ready to make an impact? Apply now!
 
 
 
 Skills: numpy,sql,airflow,pandas,bigquery,python,data analysis,advanced excel skills,tableau software,git,microsoft power bi,databricks
</div>

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