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data science business sr. consultant (by/o9) Jobs in Bangalore

data science business sr. consultant (by/o9)

data strategy consultant Jobs in Bangalore

data strategy consultant

sr. consultant

data science business sr consultant by o9

NTT DATA North America

<div>
 
 Req ID:
 
 336383
 
 
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Data Science Business Sr. Consultant (BY/o9) to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 
 Position: Senior Consultant, Data Scientist &ndash; Supply Chain Consulting
 
 
 
 
 Experience Required:
 
 5 to 8 years in Data Science, Analytics, or related fields
 
 
 
 Location:
 
 Remote (within India) Or Hybrid from our offices in Bangalore, Delhi, and other locations
 
 
 
 What You&rsquo;ll Do
 
 
 
 NTT Data is seeking an experienced
 
 Data Scientist
 
 to join its
 
 Supply Chain Consulting
 
 team. You will be part of a global team that designs and delivers cutting-edge supply chain solutions for leading organizations.
 
 
 Your primary focus will be on developing and deploying
 
 forecasting solutions
 
 using both traditional statistical models and modern machine learning techniques. In addition to forecasting, you will contribute to building
 
 AI/ML-driven solutions
 
 for diverse real-world supply chain challenges.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and implement time series forecasting models for demand planning and other supply chain use cases.
 </li>
 <li>
 Apply statistical techniques such as ARIMA, ETS etc for effective &amp; strong baseline modeling.
 </li>
 <li>
 Implement and optimize machine learning algorithms (e.g., Boosting methods like LightGBM, CatBoost etc) to improve forecast accuracy.
 </li>
 <li>
 Collaborate with clients to understand business problems and translate them into data science solutions.
 </li>
 <li>
 Contribute to broader AI/ML initiatives across supply chain functions, including anomaly detection, inventory optimization, and scenario modeling.
 </li>
 <li>
 Communicate results effectively to technical and non-technical stakeholders.
 </li>
 <li>
 Work closely with digital supply chain platforms such as o9, Blue Yonder, or similar (experience preferred).
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 5 to 8 years of hands-on experience in Data Science or Analytics, preferably in supply chain or operations domains.
 </li>
 <li>
 Strong expertise in time series forecasting, with proven experience implementing models like ARIMA, ETS, etc.
 </li>
 <li>
 Solid experience in applying machine learning techniques such as boosted trees, random forests, etc.
 </li>
 <li>
 Proficiency in Python (including libraries like pandas, scikit-learn, statsmodels/StatsForecast/DARTS etc) and SQL.
 </li>
 <li>
 Exposure to or experience with digital supply chain tools (e.g., o9, Blue Yonder) is highly desirable.
 </li>
 <li>
 Strong problem-solving and communication skills with the ability to manage client interactions independently.
 </li>
 <li>
 Understanding of MLOps, model deployment, or cloud platforms (Azure, AWS) is a plus.
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
 
 
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
 
 
</div>

Data Science Business Sr. Consultant (BY/o9)

Blue Yonder

<div>
 
 Overview &amp; Scope
 
 
 
 <ul>
 <li>
 Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s
 </li>
 <li>
 &ldquo;Best Places to Work&rdquo;
 </li>
 <li>
 We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain
 </li>
 <li>
 Management team. The ideal candidate will leverage data-driven insights to optimize supply chain
 </li>
 <li>
 processes, improve decision-making, and drive business results. You will work closely with crossfunctional
 </li>
 <li>
 teams, utilizing advanced data analytics, machine learning, and optimization techniques to
 </li>
 <li>
 enhance supply chain efficiency, forecast demand, and solve complex operational challenges.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply
 </li>
 <li>
 planning to uncover actionable insights.
 </li>
 <li>
 Machine Learning: Apply statistical and machine learning techniques to forecast demand which would
 </li>
 <li>
 include
 </li>
 <li>
 Data ingestion, data visualization and insights, verifying the integrity of data used for analysis
 </li>
 <li>
 Feature engineering, configuring forecasting models
 </li>
 <li>
 Fine tune forecasting model
 </li>
 <li>
 Present results in a clear manner
 </li>
 <li>
 Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce
 </li>
 <li>
 costs, and enhance service levels.
 </li>
 <li>
 Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising
 </li>
 <li>
 stakeholders on best practices, tools, and strategies for effective supply chain management.
 </li>
 <li>
 Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven
 </li>
 <li>
 strategies for continuous improvement.
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Industrial
 </li>
 <li>
 Engineering, Operations Research, Supply Chain Management, or a related field.
 </li>
 <li>
 Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, or worked on
 </li>
 <li>
 forecasting projects leveraging statistical/ML models; experience with data visualization tools
 </li>
 <li>
 Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and
 </li>
 <li>
 experience with supply chain management platforms/processes. Good, applied statistics skills, such as
 </li>
 <li>
 distributions, statistical testing, regression, etc
 </li>
 <li>
 Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression,
 </li>
 <li>
 classification, clustering) and optimization models.
 </li>
 <li>
 Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory
 </li>
 <li>
 management, procurement, logistics, and distribution.
 </li>
 <li>
 Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and
 </li>
 <li>
 translate insights into actionable recommendations.
 </li>
 <li>
 Personal competencies
 </li>
 <li>
 Ability to work independently and as part of a team in a consulting environment.
 </li>
 <li>
 Attention to detail, with the ability to manage large data sets and complex analysis.
 </li>
 <li>
 Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
</div>

Staff Data Scientist I - Python, R & ML

Straive

<div>
 
 
 About the Role
 
 
 
 Straive is looking for a talented and driven
 
 Consultant / Data Scientist / GenAI Engineer
 
 to join our
 
 Analytics &amp; GenAI delivery team
 
 . In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems.
 
 
 
 
 
 This role is ideal for candidates from
 
 premier engineering institutes
 
 with
 
 2&ndash;3 years of relevant experience
 
 in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain
 
 Python-based
 
 applications, AI/ML models, and data processing pipelines for GenAI projects.
 </li>
 <li>
 Implement
 
 Large Language Model (LLM)
 
 integrations, including
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines and embedding-based search solutions.
 </li>
 <li>
 Build data ingestion and transformation workflows, working with structured and unstructured datasets.
 </li>
 <li>
 Optimize AI model performance through
 
 prompt engineering
 
 , fine-tuning, and evaluation techniques.
 </li>
 <li>
 Collaborate closely with senior team members to translate business requirements into technical solutions.
 </li>
 <li>
 Integrate AI solutions with
 
 vector databases
 
 (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications.
 </li>
 <li>
 (Optional) Contribute to
 
 cloud-native deployments
 
 and
 
 Azure architecture
 
 &ndash;based solutions, including containerization, CI/CD, and basic MLOps workflows.
 </li>
 <li>
 Document workflows, maintain code repositories, and follow Agile development practices.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 2&ndash;3 years
 
 of relevant experience in AI/ML development, preferably in enterprise projects.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field from a
 
 premier engineering institute
 
 .
 </li>
 <li>
 Proficiency in
 
 Python
 
 programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy).
 </li>
 <li>
 Hands-on experience implementing
 
 RAG pipelines
 
 , embeddings, and vector search solutions.
 </li>
 <li>
 Understanding of
 
 LLM architectures
 
 and integration patterns.
 </li>
 <li>
 Working knowledge of
 
 SQL
 
 and data processing best practices.
 </li>
 <li>
 Basic knowledge of
 
 cloud DevOps concepts
 
 , preferably with
 
 Azure
 
 (AWS/GCP experience is also acceptable).
 </li>
 </ul>
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Exposure to
 
 agentic AI frameworks
 
 such as LangGraph, Semantic Kernel, or similar.
 </li>
 <li>
 Familiarity with ML model lifecycle management and deployment workflows.
 </li>
 <li>
 Prior experience working with cross-border teams and Agile environments.
 </li>
 </ul>
 
 
</div>

Data Scientist

Infosys

<div>
 <ul>
 <li>
 Master's degree in Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 7+ years of experience in data science and machine learning with a strong focus on model development and deployment.
 </li>
 <li>
 Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference.
 </li>
 <li>
 In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning.
 
 
 </li>
 </ul>
 Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability.
 
 
 <ul>
 <li>
 Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling.
 </li>
 <li>
 collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services.
 </li>
 <li>
 Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence.
 </li>
 <li>
 Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques.
 </li>
 <li>
 Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD).
 </li>
 <li>
 Experience with data warehousing and data lakes solutions like BigQuery or Snowflake.
 </li>
 <li>
 Familiarity with real-time data processing and streaming analytics.
 </li>
 <li>
 Passion for learning and staying at the forefront of data science and machine learning advancements.
 </li>
 </ul>
</div>

Amazon

<div>
 
 Description
 
 
 
 About Amazon.com
 
 
 Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.
 
 
 
 About The Role
 
 
 
 Account Management- Vendor Consultant
 
 
 As a Vendor Consultant as part of Paid Selling Partner Services (PSPS) Team of Retail Business Services, you will have the exciting opportunity to help shape and deliver on a strategy for managing Amazon Vendors.
 
 
 SPEG team is looking for a bright, customer centric, driven, and creative candidate to join our team. You will interface internally with leaders from our Retail and Vendor Services teams and will be responsible for all aspects of the vendor&rsquo;s business with Amazon. You will engage directly with multiple internal teams to optimize the product line for key manufacturers (vendors) on Amazon.com.
 
 
 You will utilize a wide range of skills and work across major functional areas such as site merchandising, buying, Catalog management, inventory management, finance, operations, and online marketing, to drive the performance of strategic vendor partners at Amazon. In this role you will be focused on the strategic and operational aspects of managing the customer relationships with our vendors.
 
 
 You will conceive, create, and analyze a wide range of marketing and site merchandising efforts, to include marketing campaigns to grow the vendor&rsquo;s traffic, brand awareness, customer conversion, and revenue on Amazon. Also you will look into strategic and operational aspects of their business with Amazon, root cause analysis of issues and opportunities affecting the vendor&rsquo;s business. In addition, you are expected to proactively identify areas for growing Vendor&rsquo;s business by developing strategies.
 
 
 Work days &ndash; Sunday - Thursday
 
 
 Responsibilities Include
 
 
 <ul>
 <li>
 Success will be measured by the performance of your internal teams on input metrics and impact of vendors on creating a great customer experience for buying consumers
 </li>
 <li>
 Partnering with the Retail Category Team and managing the vendor relationship by championing the vendor&rsquo;s needs at Amazon
 </li>
 <li>
 Build communication channels at all levels, set proper expectations, provide clear status communications, and manage towards a growth plan for the vendors
 </li>
 <li>
 Build and execute on a strategic account plan that delivers on key business opportunities and relevant KPIs for the vendors and Amazon
 </li>
 <li>
 Work with internal Amazon teams/vendors to improve operational aspects of their business in providing a great consumer experience
 </li>
 <li>
 Conduct deep dive analysis on the handled issues for the vendors and publish recommendations and action plans based on data to improve vendor experience
 </li>
 <li>
 Provide thought leadership around planning, roadmaps and execution
 </li>
 <li>
 Establish long term partnerships with key vendor partners for the group of vendors handled
 </li>
 <li>
 Support the launches of new programs, categories and features
 </li>
 <li>
 Conduct regular WBR, MBRs with the vendors highlight business metric performance and building action plans
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 Basic Qualifications and Skills Required
 
 
 <ul>
 <li>
 An understanding of and passion for e-commerce
 </li>
 <li>
 Language preference - Proficiency in Arabic
 </li>
 <li>
 Work experience is preferred (5+ years). Relevant experience in Vendor management, Sales, post sales, Account Management, and Business Development in managing B2B Business.
 </li>
 <li>
 Exposure to retail buying, retail planning &amp; allocation, product/project management, marketing or e-commerce will be a plus
 </li>
 <li>
 Proven analytical skills and demonstrated ability to manage the business &ldquo;by the numbers&rdquo;.
 </li>
 <li>
 Excellent written and oral communication and presentation skills. Ability to express thoughts logically and succinctly. Demonstrated active listening skills, highly consultative and solutions-oriented
 </li>
 <li>
 Operate in a fast-moving and sometimes ambiguous environment with full control and responsibility of achieving business objectives
 </li>
 <li>
 Develop original ideas, approaches, and solutions to typical, unusual or difficult situations or problems
 </li>
 <li>
 Ability to work in teams and ultimately focus on delivering results with high standards
 </li>
 <li>
 Attention to detail and capability to work on multiple projects in parallel
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Lean Six Sigma experience.
 </li>
 <li>
 MBA/PGDM qualification.
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka - A66
 
 
 Job ID: A3016781
</div>

Vendor Consultant, Arabic, Vendor Consultant Program

Olyv India (formerly SmartCoin)

<div>
 
 
 About Olyv
 
 
 
 
 Olyv is on a mission to build India&rsquo;s largest fully automated digital financial inclusion platform, offering a diverse range of financial services including micro-loans for the underserved middle/lower-income segment, digital gold savings, and credit health solutions. Our vision is to empower millions by enabling access to responsible financial products through data, technology, and innovation.
 
 
 
 Role: Data Scientist &ndash; Marketing &amp; Credit Risk
 
 
 
 As a Data Scientist at Olyv, you will be part of a high-impact team driving data-led decision-making across both
 
 Marketing
 
 and
 
 Credit Risk
 
 verticals. You will design, develop, and deploy advanced machine learning models that fuel growth strategies, customer engagement, and risk management decisions.
 
 
 
 Requirement 1: Data Scientist &ndash; Marketing
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 2 or more years of work experience in creating and deploying ML models
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering or a related field
 </li>
 <li>
 Advanced proficiency in SQL and Python is a must
 </li>
 <li>
 Hands-on experience in deploying ML models into production (batch or streaming)
 </li>
 <li>
 Experience in building ML models for marketing campaign channels such as Propensity Models, Hyper-Personalization, and Next Best Action (NBA)
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail and the ability to manage multiple projects with evolving priorities
 </li>
 <li>
 Proven experience in end-to-end ownership of projects and collaboration with multiple stakeholders
 </li>
 <li>
 Excellent communication and presentation skills to simplify complex findings
 </li>
 <li>
 Experience with LLMs and Deep Learning models will be an added advantage
 
 
 </li>
 </ul>
 
 
 Roles And Responsibilities
 
 
 
 
 <ul>
 <li>
 End-to-end ownership of development and implementation of ML models for marketing, including design, validation, deployment, and monitoring
 </li>
 <li>
 Work with Non-Bureau and Alternate Data to build marketing analytics models
 </li>
 <li>
 Collaborate with teams such as Growth, Tech, Marketing, and Sales to enhance model usage in business decision-making
 </li>
 <li>
 Design and implement statistical and ML-based solutions for various marketing initiatives
 </li>
 <li>
 Build automated data pipelines for scalable and efficient data processing
 </li>
 <li>
 Mentor junior data analysts and data scientists
 
 
 </li>
 </ul>
 
 Requirement 2: Data Scientist &ndash; Credit Risk
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 2 or more years of work experience in creating ML models for Retail Credit Risk
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering or a related field
 </li>
 <li>
 Advanced proficiency in SQL and Python is a must
 </li>
 <li>
 Strong understanding of Credit Risk concepts &ndash; Credit Bureau data, default rates, roll rates, vintage analysis, etc.
 </li>
 <li>
 Experience in Model Validation and Monitoring using metrics such as AUC, GINI, KS, PSI, and Drift
 </li>
 <li>
 Must have deployed ML models into production (batch or streaming)
 </li>
 <li>
 Strong analytical and problem-solving skills with proven ability to manage multiple priorities
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Experience in LLMs and Deep Learning models will be an added advantage
 
 
 </li>
 </ul>
 
 
 Roles And Responsibilities
 
 
 
 
 <ul>
 <li>
 End-to-end ownership of ML model development and implementation for credit risk assessment, including design, validation, deployment, and post-deployment monitoring
 </li>
 <li>
 Work with Non-Bureau and Alternate Data to build robust credit risk models
 </li>
 <li>
 Collaborate with Risk, Tech, and Collections teams to embed model insights in decision-making
 </li>
 <li>
 Design statistical and ML-based solutions to optimize credit strategies and risk evaluation
 </li>
 <li>
 Build automated data pipelines and tools for model deployment and monitoring
 </li>
 <li>
 Mentor junior analysts in data science practices
 
 
 </li>
 </ul>
 
 
 What You Can Expect
 
 
 
 
 <ul>
 <li>
 A culture that encourages openness, innovation, and continuous learning
 </li>
 <li>
 Opportunity to make a meaningful impact by enabling data-driven decision-making across business functions
 </li>
 <li>
 The chance to uplift millions of people by contributing to financial inclusion
 </li>
 <li>
 Exposure to advanced ML, LLM, and data infrastructure frameworks in a fast-scaling fintech environment
 </li>
 </ul>
</div>

Digital Green

<div>
 
 
 Job Title: Product Analyst
 
 
 
 
 Department: Product
 
 
 
 
 Location :Bangalore&nbsp;
 
 
 
 
 
 
 
 About Digital Green
 
 
 
 
 
 
 Digital Green
 
 is a pioneer global not for profit organization, utilizing digital platforms and community-driven approaches to amplify the voices of smallholder farmers and improve their livelihoods. Our mission is to create a world where farmers use technology and data to build prosperous communities.&nbsp; By harnessing the power of technology, we facilitate knowledge sharing, capacity building, and market linkages, enabling farmers to adopt sustainable agricultural practices and increase their productivity and income.&nbsp;
 
 
 
 
 
 
 
 We are dedicated to transforming the lives of under-served smallholder farmers worldwide through innovative technology solutions. Backed by leading philanthropic organizations such as the Bill &amp; Melinda Gates Foundation (BMGF), Walmart Foundation, USAID, and UK Foreign, Commonwealth &amp; Development Office (UKFCDO), we are committed to leveraging data and technology to empower smallholder farmers and strengthen agricultural extension systems.
 
 
 
 
 
 
 
 Description
 
 
 
 
 We are actively seeking a highly motivated and data-driven Product Analyst to become an integral part of our rapidly expanding mobile application team. In this pivotal role, you will serve as the analytical backbone of our product organization, responsible for transforming complex data into clear, actionable insights. These insights will directly inform and drive our product strategy, foster intelligent decision-making, and ultimately enhance the user experience across our mobile platforms. You will play a crucial role in understanding user behavior, identifying opportunities for growth, and ensuring our product development efforts are always data-informed and impactful.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 Product Analytics Mastery
 
 
 : Take ownership of the end-to-end data analysis lifecycle for all product features, user behavior patterns, and critical metrics within our mobile application. This includes everything from initial data collection and cleaning to in-depth analysis and the presentation of findings. You will be responsible for understanding how users interact with our app and identifying areas for improvement.
 
 </li>
 <li>
 
 Strategic Partnership &amp; Collaboration
 
 
 : Work in close collaboration with Product Managers, engineers, designers, program teams and other cross-functional teams. Your insights will be essential in shaping the product roadmap, prioritizing features, and making informed decisions that align with business objectives and user needs. You will be a key voice in strategic product discussions.
 
 </li>
 <li>
 
 Experimentation &amp; A/B Testing Expertise
 
 
 : Design, meticulously implement, and thoroughly analyze A/B tests and other experimental frameworks to validate hypotheses and measure the impact of new features or changes. You will be instrumental in establishing robust testing frameworks and best practices across the organization, fostering a culture of continuous learning and data-driven iteration.
 
 </li>
 <li>
 
 Data Infrastructure Management:
 
 
 Oversee and manage ETL (Extract, Transform, Load) processes, ensuring the seamless and accurate flow of data between our various data sources, the data warehouse, and our analytics tools. You will be responsible for maintaining the integrity and reliability of our data pipelines, which are crucial for accurate analysis.
 
 </li>
 <li>
 
 Actionable Insights &amp; Reporting
 
 
 : Develop and maintain comprehensive dashboards, insightful reports, and compelling presentations that effectively communicate complex data findings to stakeholders at all levels of the organization, from individual contributors to executive leadership. Your ability to translate data into clear, actionable recommendations will be paramount.
 
 </li>
 <li>
 
 Metrics Definition &amp; Tracking
 
 
 : Define, track, and consistently monitor key performance indicators (KPIs), critical success metrics, and overall product health indicators. You will establish the benchmarks and frameworks necessary to evaluate product performance and identify trends or anomalies.
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 Exceptional Technical Skills:
 
 </li>
 </ul>
 <ol>
 <li>
 
 Advanced SQL and BigQuery Proficiency
 
 
 : Demonstrated expertise in writing complex SQL queries and advanced proficiency in BigQuery for large-scale data extraction, manipulation, and analysis.
 
 </li>
 <li>
 
 ETL and Data Warehouse Operations (Good to have)
 
 
 : Hands-on experience managing ETL processes and significant experience working with and maintaining data warehouse operations, ensuring data quality and accessibility.
 
 </li>
 <li>
 
 Strong Data Manipulation &amp; Analysis
 
 
 : Proven ability to manipulate, analyze, and interpret large datasets with a high degree of accuracy and attention to detail, uncovering meaningful patterns and insights.
 
 </li>
 </ol>
 <ul>
 <li>
 
 Qualification
 
 
 : Graduate/Post Graduate degree in data science or any quantitative discipline such as computer science, operational research, economics, business analytics, statistics, quantitative finance
 
 </li>
 <li>
 
 Relevant Experience
 
 
 : 2-4 years of dedicated experience in product analytics, data analysis, or a similar quantitative role, with a strong preference for experience gained within the mobile or technology industry.
 
 </li>
 <li>
 
 Deep Product Mindset
 
 
 : A profound understanding of the entire product development lifecycle, from ideation to launch and post-launch optimization, coupled with a strong user-centric thinking approach to problem-solving.
 
 </li>
 <li>
 
 Proven Experimentation Experience
 
 
 : Demonstrated experience in designing, executing, and rigorously analyzing A/B tests and various experimentation methodologies to drive product improvements and validate hypotheses.
 
 </li>
 <li>
 
 Outstanding Communication Skills
 
 
 : The ability to translate complex technical data and analytical findings into clear, concise, and actionable recommendations for both technical and non-technical audiences, fostering understanding and driving informed decision-making.
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 Mobile Analytics Platform Experience
 
 
 : Direct experience with leading mobile analytics platforms such as Firebase, Amplitude, Mixpanel, or similar tools, leveraging their capabilities to gain deeper insights into mobile user behavior.
 
 </li>
 <li>
 
 Statistical Analysis &amp; Experimentation Methodologies
 
 
 : A solid understanding of statistical analysis principles and various experimentation methodologies, enabling more sophisticated data interpretation and robust test design.
 
 </li>
 <li>
 
 Data Visualization Tool Familiarity
 
 
 : Familiarity with popular data visualization tools like Tableau, Looker, or similar platforms, for creating impactful and easy-to-understand visual representations of data.
 
 </li>
 <li>
 
 Programming for Advanced Analytics
 
 
 : Proficiency in Python or R for performing advanced statistical analysis, predictive modeling, and automating data processing tasks.
 
 </li>
 <li>
 
 Startup Environment Experience
 
 
 : Prior experience working in a fast-paced, high-growth startup environment, demonstrating adaptability, resilience, and the ability to thrive with evolving priorities.
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What You'll Bring
 
 
 
 
 
 <ul>
 <li>
 
 Analytical Rigor &amp; Attention to Detail
 
 
 : An unwavering commitment to analytical rigor, precision, and meticulous attention to detail in all data-related tasks, ensuring the highest quality of insights.
 
 </li>
 <li>
 
 Proactive Problem-Solving Approach
 
 
 : A self-starter mentality with a proactive and inquisitive approach to identifying problems, investigating root causes, and proposing effective, data-driven solutions.
 
 </li>
 <li>
 
 Autonomy &amp; Prioritization
 
 
 : The ability to work effectively independently, manage multiple competing priorities, and deliver high-quality results within established deadlines without constant supervision.
 
 </li>
 <li>
 
 Passion for User Experience
 
 
 : A genuine passion for leveraging data to understand user behavior, identify pain points, and continuously improve the overall user experience and product satisfaction.
 
 </li>
 </ul>
 
 
 
 
 
 Compensation and Application Process:&nbsp;
 
 
 
 
 
 
 
 Digital Green is a great place to work and prides itself on a competitive and comprehensive&nbsp; compensation and benefits package. Digital Green is proud to be an equal opportunity&nbsp; employer. All qualified applicants will receive consideration for employment without regard&nbsp; to race, color, religion, sex, national origin, disability status, protected veteran status, or any&nbsp; other characteristic protected by law. Please send your application along with an updated CV and a cover letter explaining your&nbsp; suitability for the position. All completed applications should be applied&nbsp; through
 
 https://digitalgreen.applytojob.com/apply/5PyeWtdQWb/Product-Analyst
 
 or send your resume to vidya@digitalgreen.org
 
 
 
 
 
 
 
 Join us at Digital Green and leverage your expertise in AI to transform agricultural practices and improve the livelihoods of smallholder farmers worldwide.
 
 
 
 
 
 
 
 
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Product Analyst

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