analytics analyst

Akamai Technologies

<div>
 
 Job Description
 
 
 
 
 Do you have a passion for using data to help make effective business decisions?
 
 
 
 
 Do you enjoy collaborating with teams to solve complex challenges?
 
 
 
 
 Join our Sales Analytics Team!
 
 
 
 In the Business Operations Analyst II role, collaborate with internal stakeholders to analyze data and deliver actionable insights. Support functional teams within the Sales group by providing analysis and reporting. The Sales analytics team works closely with the Sales organization to enable informed, strategic decision-making through comprehensive data evaluation and reporting.
 
 
 
 Partner with the best
 
 
 
 As a Business Operations Analyst II, you will contribute to Akamai's Sales Operations and Analytics team. You will create, develop, and implement dashboards delivering valuable insights for Sales to inform and guide stakeholders, including executives.
 
 
 As a Business Operations Analyst II, you will be responsible for:
 
 
 <ul>
 <li>
 Identifying and implementing high performance business value creation and transformation by delivering analysis in support of the Sales group's agenda
 </li>
 <li>
 Working with stakeholders and analytics team to deliver dashboards that meet end users' requirements
 </li>
 <li>
 Providing Data Intelligence by designing, developing, and building intuitive dashboards and data sources by leveraging enterprise reporting systems
 </li>
 <li>
 Aligning dashboard design to sales strategy, business actions and outcomes. Analyzing complex data to understand feasibility and expand our dash boarding capabilities
 </li>
 <li>
 Becoming a subject matter expert in Sales data and dashboards
 </li>
 <li>
 Providing assistance to the team on business strategy, process improvements, documentations, and on-going operations. Highlight opportunities and provide practical, action-focused recommendations
 
 
 </li>
 </ul>
 
 Do What You Love
 
 
 
 To be successful in this role you will:
 
 
 <ul>
 <li>
 Possess a bachelor's degree background with 5 or more relevant experience delivering high-quality dashboards within a Sales environment.
 </li>
 <li>
 Demonstrate proficiency in Tableau development which includes developing data sources, dashboards, complex calculations, RLS, and visualizations
 </li>
 <li>
 - Demonstrate advanced SQL query expertise using Oracle and showcase exceptional written, verbal, and interpersonal communication skills for diverse audiences.
 </li>
 <li>
 Demonstrate expertise in AI/ML concepts, including predictive modeling, sales forecasting, churn analysis, and proficiency with Python or AI tools.
 </li>
 <li>
 Collaborate effectively, prioritize tasks, solve problems, multitask efficiently, work cross-functionally, and engage across organizational levels in dynamic environments.
 
 
 </li>
 </ul>
 
 Work in a way that works for you
 
 
 
 FlexBase, Akamai's Global Flexible Working Program, is based on the principles that are helping us create the best workplace in the world. When our colleagues said that flexible working was important to them, we listened. We also know flexible working is important to many of the incredible people considering joining Akamai. FlexBase, gives 95% of employees the choice to work from their home, their office, or both (in the country advertised). This permanent workplace flexibility program is consistent and fair globally, to help us find incredible talent, virtually anywhere. We are happy to discuss working options for this role and encourage you to speak with your recruiter in more detail when you apply.
 
 
 Learn what makes Akamai a great place to work
 
 
 Connect with us on social and see what life at Akamai is like!
 
 
 
 We power and protect life online, by solving the toughest challenges, together.
 
 
 
 At Akamai, we're curious, innovative, collaborative and tenacious. We celebrate diversity of thought and we hold an unwavering belief that we can make a meaningful difference. Our teams use their global perspectives to put customers at the forefront of everything they do, so if you are people-centric, you'll thrive here.
 
 
 
 Working for you
 
 
 
 
 Benefits
 
 
 
 At Akamai, we will provide you with opportunities to grow, flourish, and achieve great things. Our benefit options are designed to meet your individual needs for today and in the future. We provide benefits surrounding all aspects of your life:
 
 
 <ul>
 <li>
 Your health
 </li>
 <li>
 Your finances
 </li>
 <li>
 Your family
 </li>
 <li>
 Your time at work
 </li>
 <li>
 Your time pursuing other endeavors
 
 
 </li>
 </ul>
 Our benefit plan options are designed to meet your individual needs and budget, both today and in the future.
 
 
 
 About Us
 
 
 
 Akamai powers and protects life online. Leading companies worldwide choose Akamai to build, deliver, and secure their digital experiences helping billions of people live, work, and play every day. With the world's most distributed compute platform from cloud to edge we make it easy for customers to develop and run applications, while we keep experiences closer to users and threats farther away.
 
 
 
 Join us
 
 
 
 Are you seeking an opportunity to learn and make a real impact in a global technology company? Come join us and learn with a team of people who will energize and inspire you!
 
 
</div>

Business Operations Analyst II

Levi Strauss & Co.

<div>
 Calling all originals: At Levi Strauss &amp; Co., you can be yourself &mdash; and be part of something bigger. We&rsquo;re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit &mdash; and your future.
 
 
 The
 
 Data Management Analyst
 
 will play a critical role in strengthening the foundation of Levi Strauss &amp; Co.&rsquo;s global product data ecosystem. This role will focus on
 
 data management, cleansing, and enrichment
 
 activities across
 
 item setup, product hierarchy, and master data governance
 
 . The analyst will ensure that data is accurate, consistent, and aligned across global and regional (cluster) systems to enable better decision-making and accelerate key business strategies related to
 
 lifecycle management, pricing, and product architecture
 
 .
 
 
 This is a high-impact role that supports both day-to-day operational excellence and the long-term transformation of our product data landscape.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data Management &amp; Cleansing: Execute data cleanup, validation, and enrichment activities to ensure accuracy and completeness across global and cluster-level product data.
 </li>
 <li>
 Item Setup &amp; Product Hierarchy: Support the creation, maintenance, and optimization of product hierarchies and item master data to improve data quality, traceability, and consistency.
 </li>
 <li>
 Data Governance: Collaborate with global and regional data governance teams to define and enforce data standards, naming conventions, and business rules.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with Merchandising, Planning, IT, and Analytics teams to ensure alignment of product data structures and to resolve discrepancies quickly.
 </li>
 <li>
 Process Improvement: Identify gaps, propose process enhancements, and help standardize workflows to improve the efficiency and reliability of product data management.
 </li>
 <li>
 Reporting &amp; Insights: Generate reports and dashboards that track data quality metrics, highlight issues, and measure progress against cleanup objectives.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Education: Bachelor's degree in Business, Information Systems, Data Management, or a related field.
 </li>
 <li>
 Experience: 2&ndash;4 years of experience in product master data management, data operations, or related analytics roles (preferably in retail, apparel, or consumer goods).
 </li>
 <li>
 Strong understanding of product hierarchies, SKU/item setup, and data governance principles.
 </li>
 <li>
 Hands-on experience with ERP / PIM / PLM systems (e.g., SAP, Informatica, Stibo, etc.)
 </li>
 <li>
 Proficiency in Excel
 </li>
 <li>
 Excellent communication and collaboration skills to work across global and regional teams.
 
 
 </li>
 </ul>
 
 Why This Role Matters
 
 
 
 This role is essential in driving global alignment and consistency in how we manage product data &mdash; a foundational enabler for Levi Strauss &amp; Co.&rsquo;s transformation in lifecycle management, pricing strategies, and product architecture. By ensuring clean, structured, and reliable data, the Data Management Analyst helps unlock insights and accelerate our ability to deliver the right products to the right markets faster and smarter.
 
 
 
 Benefits
 
 
 
 We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care, taking time off, improving your health or planning for retirement, we've got you covered.
 
 
 
 Here's a Small Snapshot
 
 
 
 <ul>
 <li>
 Complimentary preventive health check-up for you &amp; your spouse
 </li>
 <li>
 OPD coverage
 </li>
 <li>
 Best in class leave plan including paternity &amp; family care leaves
 </li>
 <li>
 Counselling sessions to prioritize mental well-being
 </li>
 <li>
 Exclusive discount vouchers on Levi's products
 
 
 </li>
 </ul>
 We are an Equal Opportunity Employer committed to empowering individuals from all walks of life to achieve their professional goals with us, regardless of race, religion, gender, gender identity, pregnancy, disability, sexual orientation, age, national origin, citizenship status, or genetic information. We actively seek and encourage applications from diverse candidates, including those with disabilities, and offer accommodations throughout the selection process upon request. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
 
 
 
 LOCATION
 
 
 
 India, Bangalore - Office
 
 
 
 FULL TIME/PART TIME
 
 
 
 Full time
 
 
 
 Current LS&amp;Co Employees, apply via your Workday account.
 
</div>

Data Management Analyst

slice

<div>
 
 
 Duration
 
 - 6 months
 
 
 
 Location
 
 - Bangalore (in-office)
 
 
 
 
 
 
 About the role
 
 
 
 As an Analyst Intern, you will help shape slice's credit, business and fraud strategies by combining your product and business acumen and data driven insights. Being a key member of the team, you&rsquo;ll work closely with leadership, credit, and product teams to craft and execute analytics-driven strategies for business growth. We know these are a lot of heavy words we just wrote, but as they say &ldquo;bigger the risk, bigger the rewards".
 
 
 
 
 
 
 What You will do
 
 
 <ul>
 <li>
 Break down a business problem into different smaller problems.
 </li>
 <li>
 Work with key leaders in the company to get a deeper understanding of the business problem at hand.
 </li>
 <li>
 Coordinate with the data team to ensure that data is available in the required format ready to be consumed by you.
 </li>
 <li>
 Generate insights from the data and come up with recommendations.
 </li>
 <li>
 Measure the impact post implementation and take further steps if necessary.
 </li>
 <li>
 Be satisfied making an actual and significant impact on the business.
 </li>
 </ul>
 
 
 
 
 
 What you will need
 
 
 <ul>
 <li>
 Good technical knowledge of SQL &amp; Python
 </li>
 <li>
 Good problem solving and Logical thinking skills
 </li>
 <li>
 A knack for grasping new things and implementing them
 </li>
 <li>
 Ability to draw conclusions from data and recommend actions.
 </li>
 <li>
 Demonstrated willingness to teach others and learn new techniques.
 </li>
 </ul>
 
 
 
 
 
 About Us
 
 
 
 
 
 
 slice
 
 
 A new bank for a new India
 
 
 
 
 
 slice&rsquo;s purpose is to make the world better at using money and time, with a major focus on building the best consumer experience for your money. We&rsquo;ve all felt how slow, confusing, and complicated banking can be. So, we&rsquo;re reimagining it. We&rsquo;re building every product from scratch to be fast, transparent, and feel good, because we believe that the best products transcend demographics, like how great music touches most of us.
 
 
 
 
 
 Our cornerstone products and services: slice savings account, slice UPI credit card, slice UPI, and slice business are designed to be simple, rewarding, and completely in your control. At slice, you&rsquo;ll get to build things you&rsquo;d use yourself and shape the future of banking in India. We tailor our working experience with the belief that the present moment is the only real thing in life. And we have harmony in the present the most when we feel happy and successful together.
 
 
 
 
 
 We&rsquo;re backed by some of the world&rsquo;s leading investors, including Tiger Global, Insight Partners, Advent International, Blume Ventures, and Gunosy Capital.
 
</div>

Analytics Intern

<div>
 
 
 About the Team:
 
 
 
 
 
 
 You&rsquo;ll work with a team that&rsquo;s reimagining how India interacts with a bank - powered by some of the smartest minds and the most intuitive tech in the ecosystem.
 
 
 
 
 
 If you love impact, autonomy, and velocity, this is your playground
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 As an Analyst at
 
 slice
 
 , you&rsquo;ll turn data into decisions. You&rsquo;ll work with teams across Growth, Credit, Product, and Leadership to uncover insights, solve real business problems, and drive strategy. If you&rsquo;re excited about using data to fuel impact at scale, this role is for you.
 
 
 
 
 
 
 What You&rsquo;ll Be Do:
 
 
 
 
 
 
 
 Own the Full Analytics Spectrum
 
 
 
 
 
 
 
 Think from First Principles:
 
 Break problems down to their core, use data and reasoning to uncover insights that move the business and make life simpler for our customers.
 
 <ul>
 <li>
 
 Descriptive
 
 &ndash; Build clear, compelling visualizations and dashboards.
 </li>
 <li>
 
 Diagnostic
 
 &ndash; Dig into the
 
 why
 
 behind trends and performance.
 </li>
 <li>
 
 Prescriptive
 
 &ndash; Turn insights into recommendations that drive smart decisions.
 </li>
 </ul>
 
 
 Drive Impact at Scale
 
 
 <ul>
 <li>
 Take full ownership of complex, high-impact problems that shape key org KPIs and influence strategic direction.
 </li>
 <li>
 Lead end-to-end analytics projects in close partnership with Product, Business, and Strategy teams &mdash; from framing the problem to shaping solutions that drive measurable outcomes.
 </li>
 </ul>
 
 
 Partner with Leaders Across Teams
 
 
 <ul>
 <li>
 Work side by side with functional leaders and business partners across Growth, Retention, Product, Strategy, Engineering, Marketing, Fraud, and Ops &mdash; asking the right questions, challenging assumptions, and helping define the real business problems worth solving.
 </li>
 <li>
 
 Tell Stories That Drive Action:
 
 Turn complex data into simple, actionable stories &mdash; crafting solutions that power big decisions and deliver real impact at scale.
 </li>
 </ul>
 
 
 
 
 
 What You'll Need:
 
 
 
 
 
 <ul>
 <li>
 
 Hustle + Heart:
 
 You&rsquo;ve got the drive to build data-driven solutions that touch millions of lives - and the curiosity to keep asking
 
 &ldquo;what&rsquo;s next?&rdquo;
 
 </li>
 <li>
 
 1-3 years
 
 of experience solving complex business problems, uncovering insights, and driving key decisions that move metrics at scale.
 </li>
 <li>
 
 AI-Native Mindset:
 
 Comfortable using tools like Cursor, Claude, or CoPilots to boost your speed, scale, and smarts.
 </li>
 <li>
 
 You speak data fluently:
 
 Python and Advanced SQL are your second languages, and you&rsquo;re comfortable in PySpark, R, or Excel when the situation calls for it.
 </li>
 <li>
 
 Problem-solver at your core:
 
 You love breaking big, messy problems into bite-sized pieces &mdash; and crafting smart, scalable solutions that stick.
 </li>
 <li>
 
 Natural Storyteller:
 
 You don&rsquo;t just present numbers &mdash; you craft narratives that align stakeholders and inspire action.
 </li>
 <li>
 
 Always learning:
 
 Whether it&rsquo;s a new tool, technology, or technique, you&rsquo;re excited to expand your toolkit.
 </li>
 <li>
 
 Visualization is your superpower:
 
 Whether it&rsquo;s dashboards or decks, you know how to turn numbers into a story people instantly get.
 </li>
 </ul>
 
 
 
 
 
 Life at slice:
 
 
 
 
 
 
 Life so good, you&rsquo;d think we&rsquo;re kidding:
 
 
 
 
 <ul>
 <li>
 Competitive salaries. Period.
 </li>
 <li>
 An extensive medical insurance that looks out for our employees &amp; their dependants. We&rsquo;ll love you and take care of you, our promise.
 </li>
 <li>
 Flexible working hours. Just don&rsquo;t call us at 3AM, we like our sleep schedule.
 </li>
 <li>
 Tailored vacation &amp; leave policies so that you enjoy every important moment in your life.
 </li>
 <li>
 A reward system that celebrates hard work and milestones throughout the year. Expect a gift coming your way anytime you kill it here.
 </li>
 <li>
 Learning and upskilling opportunities. Seriously, not kidding.
 </li>
 <li>
 Good food, games, and a cool office to make you feel like home. An environment so good, you&rsquo;ll forget the term &ldquo;colleagues can&rsquo;t be your friends&rdquo;.
 </li>
 <li>
 We believe in equality. Period.
 </li>
 </ul>
 
 
 
 
 At slice, we are committed to building a diverse and talented workforce. We never discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by the applicable law.
 
 
 
 
 
 We consider all qualified job-seekers with criminal histories in a manner consistent with the applicable law. Additionally, we are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.
 
 
 
 
 
 Come join our crew!
 
 
 
 
 
 
 About us
 
 
 
 
 
 
 slice
 
 
 A new bank for a new India
 
 
 
 
 
 slice&rsquo;s purpose is to make the world better at using money and time, with a major focus on building the best consumer experience for your money. We&rsquo;ve all felt how slow, confusing, and complicated banking can be. So, we&rsquo;re reimagining it. We&rsquo;re building every product from scratch to be fast, transparent, and feel good, because we believe that the best products transcend demographics, like how great music touches most of us.
 
 
 
 
 
 Our cornerstone products and services: slice savings account, slice UPI credit card, slice UPI, and slice business are designed to be simple, rewarding, and completely in your control. At slice, you&rsquo;ll get to build things you&rsquo;d use yourself and shape the future of banking in India. We tailor our working experience with the belief that the present moment is the only real thing in life. And we have harmony in the present the most when we feel happy and successful together.
 
 
 
 
 
 We&rsquo;re backed by some of the world&rsquo;s leading investors, including Tiger Global, Insight Partners, Advent International, Blume Ventures, and Gunosy Capital.
 
</div>

Analyst

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist II

Data Scientist, Product Analytics

MakeMyTrip

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Advanced Reporting: Design and maintain complex MIS reports (DWM) using advanced logic, ensuring data translates into actionable business intelligence.
 </li>
 <li>
 Visualization &amp; Storytelling: Create intuitive dashboards and visual representations of data (using Excel or BI tools) to help non-technical stakeholders understand the numbers at a glance.
 </li>
 <li>
 Process Automation: Proactively identify repetitive manual tasks and minimize turnaround time using Macros/VBA or advanced formula logic.
 </li>
 <li>
 Data Integrity &amp; Management: Act as the gatekeeper of data quality, performing deep-dive reconciliation and validation before publishing numbers.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in SQL .
 </li>
 <li>
 Advanced Excel (Pivot tables, charts, formulas, etc.).
 </li>
 <li>
 Experience with BI/Visualization tools (Tableau, Power BI, Looker, etc.).
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work with large datasets and derive actionable insights.
 </li>
 <li>
 Good communication and presentation skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or related field.
 </li>
 <li>
 Experience in MIS reporting, dashboard creation, or business analytics.
 </li>
 <li>
 Knowledge of Python/R (optional but good to have).
 </li>
 </ul>
</div>

Data Analyst

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