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associate business analyst

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Lulu Retail

<div>
 
 🚀 We&rsquo;re Hiring: Data Analyst (Supply Chain)
 
 
 
 
 
 📍 Location: Bangalore / Kochi
 
 
 
 
 
 LuLu is building the GCC region&rsquo;s leading omnichannel retail network and looking for a
 
 Data Analyst
 
 to join our analytics team. You&rsquo;ll develop dashboards, automate reports, and provide insights that drive smarter, faster supply chain decisions across markets.
 
 
 
 
 
 🔹
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build and maintain data models, dashboards, and reporting tools.
 </li>
 <li>
 Automate and scale data visualization for real-time performance tracking.
 </li>
 <li>
 Collaborate with teams across supply chain, product, and operations to identify opportunities.
 </li>
 <li>
 Support business problem-solving through advanced analytics and storytelling.
 </li>
 </ul>
 
 🔹
 
 Requirements:
 
 
 <ul>
 <li>
 0&ndash;3 years of experience in
 
 FMCG, E-commerce, or Consulting.
 
 </li>
 <li>
 Proficient in
 
 SQL
 
 ; experience with
 
 Python
 
 a plus.
 </li>
 <li>
 Knowledge of
 
 Power BI, Tableau, or Data Studio.
 
 </li>
 <li>
 Strong understanding of reporting, visualization, and KPIs.
 </li>
 <li>
 Analytical and detail-oriented mindset.
 </li>
 </ul>
 
 
</div>

Data Analyst - LuLu Omnichannel

BCG X

<div>
 
 Locations
 
 : Bengaluru | Gurgaon
 
 
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 What You'll Do
 
 
 As a part of BCG X A&amp;A team, you will work closely with consulting teams on a diverse range of advanced analytics topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCG's Consulting (case) teams and Practice Areas (domain) through providing analytics subject matter expertise, and accelerated execution support. You will collaborate with case teams to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics solutions and processes to build high quality and efficient analytic solutions.
 
 
 YOU'RE GOOD AT
 
 
 <ul>
 <li>
 Working with case (and proposal) teams
 </li>
 <li>
 Acquiring deep expertise in at least one analytics topic &amp; understanding of all analytics capabilities
 </li>
 <li>
 Defining and explaining expected analytics outcome; defining approach selection
 </li>
 <li>
 Delivering original analysis and insights to BCG teams, typically owning all or part of an analytics module and integrating with case teams
 </li>
 <li>
 Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to their module
 </li>
 <li>
 Communicating analytical insights through sophisticated synthesis and packaging of results (including PowerPoint presentation, Documents, dashboard and charts) with consultants, collects, synthesizes, analyses case team learning &amp; inputs into new best practices and methodologies
 </li>
 <li>
 Build collateral of documents for enhancing core capabilities and supporting reference for internal documents; sanitizing confidential documents and maintaining a repository
 </li>
 <li>
 Able to lead workstreams and modules independently or with minimal supervision
 </li>
 <li>
 Ability to support business development activities (proposals, vignettes etc.) and build sales collateral to generate leads
 </li>
 <li>
 Team requirements: Guides juniors on analytical methodologies and platforms, and helps in quality checks
 </li>
 <li>
 Contributes to team's content &amp; IP development
 </li>
 <li>
 Imparts technical trainings to team members and consulting cohort
 </li>
 <li>
 Technical Skills: Strong proficiency in statistics (concepts &amp; methodologies like hypothesis testing, sampling, etc.) and its application &amp; interpretation
 </li>
 <li>
 Hands-on data mining and predictive modeling experience (Linear Regression, Clustering (K-means, DBSCAN, etc.), Classification (Logistic regression, Decision trees/Random Forest/Boosted Trees), Timeseries (SARIMAX/Prophet)etc.
 </li>
 <li>
 Strong experience in at least one of the prominent cloud providers (Azure, AWS, GCP) and working knowledge of auto ML solutions (Sage Maker, Azure ML etc.)
 </li>
 <li>
 At least one tool in each category;
 </li>
 <li>
 Programming language - Python (Must have), (R Or SAS OR PySpark), SQL (Must have)
 </li>
 <li>
 Data Visualization (Tableau, QlikView, Power BI, Streamlit) ,
 </li>
 <li>
 Data management (using Alteryx, MS Access, or any RDBMS)
 </li>
 <li>
 ML Deployment tools (Airflow, MLflow Luigi, Docker etc.)
 </li>
 <li>
 Big data technologies ( Hadoop ecosystem, Spark)
 </li>
 <li>
 Data warehouse solutions (Teradata, Azure SQL DW/Synapse, Redshift, BigQuery etc,)
 </li>
 <li>
 Version Control (Git/Github/Git Lab)
 </li>
 <li>
 MS Office (Excel, PowerPoint, Word)
 </li>
 <li>
 Coding IDE (VS Code/PyCharm)
 </li>
 <li>
 GenAI tools (OpenAI, Google PaLM/BERT, Hugging Face, etc.)
 </li>
 <li>
 Functional Skills:
 </li>
 <li>
 Expertise in building analytical solutions and delivering tangible business value for clients (similar to the use cases below)
 </li>
 <li>
 Price optimization, promotion effectiveness, Product assortment optimization and sales force effectiveness, Personalization/Loyalty programs, Labor Optimization
 </li>
 <li>
 CLM and revenue enhancement (segmentation, cross-sell/up-sell, next product to buy, offer recommendation, loyalty, LTV maximization and churn prevention)
 </li>
 <li>
 Communicating with confidence and ease: You will be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication.
 
 
 </li>
 </ul>
 What You'll Bring
 
 
 <ul>
 <li>
 Bachelor/Master's degree in a field linked to business analytics, statistics or economics, operations research, applied mathematics, computer science, engineering, or related field required; advanced degree preferred
 </li>
 <li>
 At least 2-4 years of relevant industry work experience providing analytics solutions in a commercial setting
 </li>
 <li>
 Prior work experience in a global organization, preferably in a professional services organization in data analytics role
 </li>
 <li>
 Demonstrated depth in one or more industries not limited to but including Retail, CPG, Healthcare, Telco etc
 </li>
 <li>
 Prior work experience in a global organization, preferably in a professional services organization in data analytics role to join our ranks. #BCGXjob
 
 
 </li>
 </ul>
 Who You'll Work With
 
 
 Our data analytics and artificial intelligence professionals mix deep domain expertise with advanced analytical methods and techniques to develop innovative solutions that help our clients tackle their most pressing issues. We design algorithms and build complex models out of large amounts of data.
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Data Analyst, Predictive Analytics, India- X Delivery

AB InBev GCC India

<div>
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 Job Title: Data Scientist
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Reporting to: Manager- Analytics/ Senior Manager-Analytics
 
 
 
 
 
 
 
 1. PURPOSE OF THE ROLE
 
 
 
 
 
 
 Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Supply Analytics. Candidate will be required to contribute and
 
 
 may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets
 
 
 
 
 
 
 2. KEY TASKS AND ACCOUNTABILITIES
 
 
 
 
 
 <ul>
 <li>
 Understand the business problem and translate that to an analytical problem; participate in the solution design process.
 </li>
 <li>
 Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring.
 </li>
 <li>
 Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles.
 </li>
 <li>
 Design, develop, and deploy machine learning models into production environments on Azure.
 </li>
 <li>
 Collaborate with data scientists, software engineers, and other stakeholders to meet business needs.
 </li>
 <li>
 Ability to communicate findings clearly to both technical and business stakeholders.
 </li>
 </ul>
 
 
 
 
 
 3. Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required (1 or more of the following)
 
 
 <ul>
 <li>
 B. Tech /BE/ Masters in CS/IS/AI/ML.
 </li>
 </ul>
 
 
 
 
 
 Previous work experience required
 
 
 <ul>
 <li>
 Minimum 3 years of relevant experience.
 </li>
 </ul>
 
 
 
 
 
 Technical skills required
 
 
 
 
 
 
 
 Must Have
 
 
 <ul>
 <li>
 Strong expertise in Python, SQL, and libraries such as Scikitlearn, Pandas, NumPy, and PyTorch or TensorFlow including advanced knowledge of OOP concepts.
 </li>
 <li>
 Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization using Python.
 </li>
 <li>
 Azure Tech Stack, Databricks, ML Flow in any cloud platform Airflow for orchestrating and automating workflows.
 </li>
 <li>
 Strong knowledge of feature engineering, model training, and validation techniques.
 </li>
 <li>
 MLOPS concepts and containerization tools like Docker.
 </li>
 <li>
 Experience with version control tools such as Git.
 </li>
 <li>
 Consistently display an intent for problem solving. Strong communication skills (vocal and written).
 </li>
 <li>
 Ability to effectively communicate and present information at various levels of an organization.
 </li>
 <li>
 Experience in model evaluation, A/B testing, and back testing methodologies.
 </li>
 </ul>
 
 
 
 
 
 Good To Have
 
 
 <ul>
 <li>
 Preferred industry exposure in Manufacturing Domain.
 </li>
 <li>
 Product building experience.
 </li>
 </ul>
 
 
 
 
 
 Other Skills required
 
 
 <ul>
 <li>
 Passion for solving problems using data.
 </li>
 <li>
 Detail oriented, analytical and inquisitive.
 </li>
 <li>
 Ability to learn on the go.
 </li>
 <li>
 Ability to work independently and with others.
 </li>
 </ul>
 
 
 
 
 We dream big to create future with more cheers!
 
</div>

Data Scientist

Gushwork

<div>
 About us:
 
 
 Gushwork.ai builds AI Agents that help small and medium businesses automate their entire inbound marketing stack &mdash; from SEO and website content to reviews, blogs, and lead funnels. Our current focus is the manufacturing and industrial distributors industry.
 
 
 In plain English: we&rsquo;re replacing bloated marketing agencies with intelligent, always-on software.
 
 
 Backed by Lightspeed, SIG, Beenext, and B Capital, Gushwork.ai is one of the fastest-growing AI companies globally.
 
 
 In just a year, we&rsquo;ve grown to $1.5M ARR and are scaling fast toward $15M ARR in the next 12 months &mdash; helping thousands of small businesses grow smarter, not harder.
 
 
 Role Overview
 
 
 Join as a data analyst at a rapidly scaling AI startup, where you'll build critical data infrastructure and drive strategic decisions across all business functions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Transform chaos into clarity: Build on our data infrastructure - clean messy data from 10+ sources, create SOPs, and design repeatable automation patterns that scale
 </li>
 <li>
 Be the truth-teller: Own end-to-end analytics for product, finance, growth, and operations - from raw SQL queries to executive dashboards
 </li>
 <li>
 Accelerate velocity: Design self-serve analytics tools and documentation that empower every team to move faster with data
 </li>
 <li>
 Automate everything: Build systems that turn manual reporting into automated intelligence - freeing the team to focus on strategy, not spreadsheets
 
 
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 1-3 years in analytics, preferably at a high-growth startup or tech company.
 </li>
 <li>
 Strong understanding of relational databases.
 </li>
 <li>
 Advanced SQL skills - complex queries utilizing joins, CTEs, window functions.
 </li>
 <li>
 Data visualization expertise - transform numbers into compelling stories.
 </li>
 <li>
 Excel/Google Sheets power user with Python/R capabilities for advanced analysis.
 </li>
 <li>
 Experience leveraging AI tools and chatbots to accelerate analysis workflows.
 
 
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with ETL pipelines or data engineering fundamentals
 </li>
 <li>
 Experience migrating and managing large datasets
 </li>
 <li>
 Hands-on experience with BI tools (Metabase, Tableau, Power BI, Looker, or equivalent)
 
 
 
 
 </li>
 </ul>
</div>

Data Analyst

BitGo

<div>
 BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.
 
 
 BitGo is looking for a
 
 Data Scientist
 
 who will join our Data Science and Analytics Team and help us continuously refine the framework that supports our growing business and make data-driven decisions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop data-driven business insights and work with cross-functional partners to find opportunities and make product and growth recommendations.
 </li>
 <li>
 Develop and standardize metrics and dashboards that would identify trends and generate hypotheses about the product through a deep understanding of the data, our customers, and our business
 </li>
 <li>
 Work collaboratively with cross-functional teams to implement solutions driven by business requirements
 </li>
 <li>
 Develop and automate reporting of key performance indicators of various BitGo&rsquo;s products and services at scale
 </li>
 <li>
 Partner with product managers to design experiments to test hypothesis and help with idea generation and refinement
 </li>
 <li>
 Collaborate with engineering teams and stakeholders to build and improve on the availability, integrity, accuracy, and reliability of data pipelines
 </li>
 <li>
 Be a data evangelist and help BitGo improve its products and services
 
 
 </li>
 </ul>
 
 Skills &amp; Experience:
 
 
 
 We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 2+ years industry experience in data analytics field
 </li>
 <li>
 Advanced knowledge of SQL, scripting languages and database concepts
 </li>
 <li>
 The ability to clearly communicate complex results to technical and non-technical audiences
 </li>
 <li>
 Knowledge of Basic Statistics required
 </li>
 <li>
 Experience with Google Analytics / Hubspot / SEM will be a plus
 </li>
 <li>
 Experience with BI Tools (Tableau, Looker,Google Data Studio, Google Big Query)
 </li>
 <li>
 Familiarity with data warehouse development and best practices
 </li>
 <li>
 The versatility and willingness to learn new technologies on the job such as DBT, Airflow
 </li>
 <li>
 BA/BS or MA/MS degree in Mathematics, Statistics, Economics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field
 
 
 </li>
 </ul>
 
 Why Join BitGo?
 
 
 
 Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world&rsquo;s financial markets.
 
 
 Here are some of the benefits of working at BitGo:
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 IT equipment support for work
 </li>
 <li>
 Meal &amp; Commute allowance
 </li>
 <li>
 Medical Insurance
 </li>
 <li>
 Attractive Well-being allowance (comprises of medical, wellness and fitness aspects)
 </li>
 <li>
 Snacks: on-the-house in the Bangalore office
 </li>
 <li>
 Great/Talented workforce to learn and grow with
 
 
 </li>
 </ul>
 
 Note:
 
 This role requires working onsite (Monday to Friday) at the Bangalore office.
 
 
 Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.
</div>

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.
 
 
 
 About Team And Role
 
 
 
 We&rsquo;re building the future of eCommerce product discovery, and we need a data-driven, AI-savvy problem solver to help us, do it.
 
 
 This is a unique role at the intersection of data analytics, AI/ML model evaluation, and prompt engineering&mdash;ideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical solutions.
 
 
 You&rsquo;ll be embedded in the Product Knowledge org, shaping how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.
 
 
 This is a high-agency, startup-style role&mdash;if you thrive in fast-moving, product-focused environments and love working closely with AI/ML, Product, and Engineering teams, this is for you.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Analyze &amp; Optimize eCommerce Product Data &ndash; Run deep SQL &amp; Python analyses to find opportunities in taxonomy, ontology, and structured data for search &amp; discovery improvements.
 </li>
 <li>
 Leverage LLMs for Analytical Solutions &ndash; Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.
 </li>
 <li>
 Evaluate &amp; Improve AI/ML Models &ndash; Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.
 </li>
 <li>
 Drive Insights &amp; Strategy &ndash; Use data-driven storytelling to influence product and AI teams, helping shape decisions on catalog optimization, entity resolution, and knowledge graph development.
 </li>
 <li>
 Integrate with AI/ML Teams &ndash; Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.
 </li>
 <li>
 Prototype and Experiment &ndash; Move fast, test hypotheses, and build quick experiments to validate structured data strategies and AI-driven discovery improvements.
 
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 4 Years experience in analytics, data science role
 </li>
 <li>
 Strong Data &amp; Analytics Skills &ndash; Proficiency in SQL &amp; Python for data wrangling, analytics, and automation.
 </li>
 <li>
 Product Analytics Attitude &ndash; Familiarity with eCommerce search, recommendations, and knowledge graph applications
 </li>
 <li>
 Strong Communication &ndash; Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.
 </li>
 <li>
 AI/LLM Experience &ndash; Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred)
 </li>
 <li>
 Model Evaluation Know-How &ndash; Ability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models..
 </li>
 <li>
 Startup DNA &ndash; High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration.
 
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Build the AI-powered future of eCommerce product discovery.
 </li>
 <li>
 Move fast &amp; own impactful projects in a startup-like, high-agency culture.
 </li>
 <li>
 Work directly with AI, Data Science, and Product teams to shape taxonomy &amp; ontology strategies.
 </li>
 <li>
 Get hands-on with AI/ML in a real-world, high-scale environment.
 
 
 
 </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 Scientist, Knowledge Management

Equifax

<div>
 
 Synopsis of the role
 
 
 
 Join our Identity and Fraud Solution Analytics group as a Data Scientist, where you will play a pivotal role Analyze
 
 
 multiple complex data sources using statistical analysis and programming languages to inform business decision
 
 
 making. Delivers analytical and commercial solutions for internal and external customers. Develops models and
 
 
 other analyses to test hypotheses and understand the potential impacts of decisions under various scenarios. Able
 
 
 to communicate analytical results to generate improved business decisions and profitability. Combines business
 
 
 requirements and existing processes and data knowledge to create analytical solutions.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science
 
 
 </li>
 </ul>
 fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from
 
 
 more senior resources.
 
 
 <ul>
 <li>
 Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling
 
 
 </li>
 </ul>
 data from standard and new data sources
 
 
 <ul>
 <li>
 Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions
 </li>
 <li>
 Collaborate with stakeholders to improve model performance, interpret results, and provide actionable
 
 
 </li>
 </ul>
 insights.
 
 
 <ul>
 <li>
 Works on moderate complexity tasks in problems often within multiple business or analytical domains,
 
 
 </li>
 </ul>
 collaborating with other teams to develop predictive models, risk assessments, fraud detection,
 
 
 recommendation engines, etc.
 
 
 <ul>
 <li>
 Package, summarize and visualize analytical findings and results for management.
 </li>
 <li>
 Evaluate the work of peer and/or junior data scientists to ensure high quality solutions
 </li>
 <li>
 Prioritizes and organizes own work to meet deadlines and deliver quality results
 </li>
 <li>
 Identifies and solves a range of problems in straightforward situations.
 </li>
 <li>
 Design, management and delivery of analytical insights and solutions through data analysis, data
 
 
 </li>
 </ul>
 management and data science.
 
 
 <ul>
 <li>
 Primary activities include delivering technical, business strategic expertise and ensuring proper governance
 
 
 </li>
 </ul>
 of data sources, models, attributes and analytic platforms. Accountable for the data and insight strategy and
 
 
 its execution for the company
 
 
 
 What Experience You Need
 
 
 
 <ul>
 <li>
 BS degree in a STEM major or equivalent discipline.
 </li>
 <li>
 2-5 years of experience in a related analytical role, including experience with the design and development of
 
 
 </li>
 </ul>
 predictive models
 
 
 <ul>
 <li>
 Requires knowledge and experience in own discipline; still acquiring higher-level knowledge and skills
 </li>
 <li>
 Python/SQL coding experience is a must have technical skill.
 </li>
 <li>
 Artificial Intelligence - Utilize artificial intelligence to improve process efficiency, effectiveness and products
 </li>
 <li>
 Collaboration - Work collaboratively across different projects, communicating technical details to technical
 
 
 </li>
 </ul>
 and non-technical stakeholders. Manage own priorities within and across teams.
 
 
 <ul>
 <li>
 Commercial Acumen - Have a good understanding of a product and related market segments and
 
 
 </li>
 </ul>
 understand the technical intricacies of how this product solves a commercial problem.
 
 
 <ul>
 <li>
 Decision Modeling - Understand advanced statistical concepts used to contribute to the development of
 
 
 </li>
 </ul>
 stress tested deployable machine learning algorithms (Logistic Regression, Xgboost, Neural Networks, etc.).
 
 
 <ul>
 <li>
 Leadership and Teamwork - Participate in a collaborative and productive team environment and take charge
 
 
 </li>
 </ul>
 of technical and self development
 
 
 <ul>
 <li>
 Problem Solving - Utilize hypothesis based problem solving to deliver pragmatic resolutions to business
 
 
 </li>
 </ul>
 problems.
 
 
 <ul>
 <li>
 Statistical Programming - Execute and contribute to version controlled code and make use-case-specific
 
 
 </li>
 </ul>
 modifications as needed. Manipulate and work with unstructured/structured, small and big data
 
 
 
 What Could Set You Apart
 
 
 
 <ul>
 <li>
 Cloud certification strongly preferred.
 </li>
 <li>
 Additional role-based certifications may be required depending upon region/BU requirements.
 </li>
 <li>
 lending, credit risk and marketing analytics space - both in India &amp; International.
 </li>
 <li>
 Chance to use cutting-edge statistical/modeling tools across literally hundreds of data assets.
 </li>
 <li>
 Offices located in the center of Bangalore &amp; Mumbai.
 </li>
 <li>
 Utilize artificial intelligence to improve process efficiency, effectiveness and products
 </li>
 <li>
 Equifax D&amp;A University: skill lab, group &amp; individual learning.
 </li>
 </ul>
</div>

Explore 132+ Analytics specialist in Mangaluru this October. Find roles across top companies and apply now to boost your career.

132 analytics specialist jobs IN Mangaluru

Data Analyst - LuLu Omnichannel

Data Analyst, Predictive Analytics, India- X Delivery

Data Scientist

Data Analyst

Data Scientist

Data Scientist, Knowledge Management

Data Scientist