data scientist

business analyst

data analyst

analyst

client data analyst

data science analyst

Turing

<div>
 A prominent US client is seeking Data Scientists to join their team. As a Data Scientist, you will play a critical role in conducting thorough peer code reviews, providing insightful feedback, and collaborating closely with researchers and stakeholders to align with project goals.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Write Python code to analyze public datasets and extract valuable insights.
 </li>
 <li>
 Communicate effectively with researchers to stay aligned with company objectives.
 </li>
 <li>
 Develop clear, well-documented code using Jupyter notebooks.
 </li>
 <li>
 Utilize public data sources (e.g., Kaggle, UN, US Government) to address business-related queries.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Engineering, Computer Science, or equivalent experience.
 </li>
 <li>
 Strong proficiency in Python for data science and data analysis.
 </li>
 <li>
 Comprehensive understanding of data science methodologies.
 </li>
 <li>
 Fluent in spoken and written English.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 
 
 </li>
 </ul>
 
 Job Benefits
 
 
 
 <ul>
 <li>
 Collaborate with top experts worldwide and expand your professional network.
 </li>
 <li>
 Enjoy remote work flexibility.
 </li>
 <li>
 Competitive global-standard salary in USD.
 </li>
 <li>
 Contribute to projects pushing the boundaries of technology, keeping you at the forefront of AI advancements.
 
 
 </li>
 </ul>
 
 Selection Process
 
 
 
 <ul>
 <li>
 Shortlisted developers may be asked to complete an assessment.
 </li>
 <li>
 If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
 </li>
 <li>
 Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
 </li>
 </ul>
</div>

Remote Data Scientist

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 LinkedIn member data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives. You will have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions.
 
 
 Data Scientists on our team partner with product managers, engineers, and others to form a cross-functional team driving LinkedIn membership growth and engagement. We are looking for strong, enthusiastic data scientists to join our team in Bangalore, India focusing on International Products that create values for LinkedIn's global member base in over 200 countries.
 
 
 
 About The Team -
 
 
 
 Join the LSS-Data Science team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-Data Science team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value.
 
 
 You will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 We inform product strategy, influence the product roadmap, and guide product decisions by
 </li>
 <li>
 Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations.
 </li>
 <li>
 Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
 </li>
 <li>
 Designing and analyzing experiments to test new product ideas.
 </li>
 <li>
 Developing models and data-driven solutions that add material lift to principal performance metrics.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc.
 </li>
 <li>
 10+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
 </li>
 <li>
 10+ years of experience in a Unix/Linux environment for automating processes with shell scripting.
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with Consumer Internet products.
 </li>
 <li>
 Experience programming in Python, Java, or another programming language - Pig experience desired but not required.
 </li>
 <li>
 Ability to translate business objectives into actionable analyses.
 </li>
 <li>
 Ability to communicate findings clearly to both technical and non-technical audiences
 </li>
 <li>
 Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms, user acquisition in International markets, Search Engine Optimization (SEO)
 </li>
 <li>
 Expertise in applied statistics, understanding of controlled experiments.
 </li>
 <li>
 Cross-cultural background and experience
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Sql
 </li>
 <li>
 Data visualization
 </li>
 <li>
 Hive
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Staff Data Scientist

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Description Summary:
 
 
 This job will develop and implement data science models and algorithms to support business needs. You will work with stakeholders to understand data requirements and deliver solutions. Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams.
 
 
 
 Job Description:
 
 
 
 Essential Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement data science models and algorithms.
 </li>
 <li>
 Analyze and interpret complex data sets.
 </li>
 <li>
 Ensure data quality and integrity.
 </li>
 <li>
 Collaborate with stakeholders to understand data requirements.
 </li>
 <li>
 Optimize data processes for efficiency and performance.
 </li>
 <li>
 Perform advanced statistical analysis and reporting.
 
 
 
 </li>
 </ul>
 
 Expected Qualifications:
 
 
 
 <ul>
 <li>
 Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
 
 
 
 </li>
 </ul>
 
 Additional Responsibilities And Preferred Qualifications
 
 
 <ul>
 <li>
 Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc.) to translate data into business decisions/results
 </li>
 <li>
 Be data-driven and outcome-focused
 </li>
 <li>
 Must have good business judgment with demonstrated ability to think creatively and strategically
 </li>
 <li>
 Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis
 </li>
 <li>
 Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work
 </li>
 <li>
 Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or related field with 2-3 years&rsquo; experience, or Master&rsquo;s degree with 1-2 years&rsquo; experience in risk management, data science and/or loss forecasting, in the payments space or banking/finance services industry would be particularly desirable.
 </li>
 <li>
 Proficiency using SQL and querying relational databases
 </li>
 <li>
 Experience in at least one statistical programming language (SAS, R, Python)
 </li>
 <li>
 Familiarity with reporting tools (Tableau, Power BI or Qlik) is highly desired.
 </li>
 <li>
 Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc.
 </li>
 <li>
 Experience with structuring analyses to solve business problems using data and analytics tools and techniques
 
 
 
 </li>
 </ul>
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
 
 
 We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
 
 
 
 Who We Are:
 
 
 
 To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
 
 
 REQ ID R0131264
</div>

Data Scientist

Tesco Bengaluru

<div>
 
 About the role
 
 
 
 
 Enable data
 
 driven decision making across the Tesco business globally by developing
 
 analytics solutions using a combination of math, tech and business knowledge
 
 
 
 
 
 You will be responsible for
 
 
 
 
 
 
 Roles
 
 and Responsibilities:
 
 
 
 
 
 
 
 
 -
 
 Identifying operational improvements and finding solutions by applying CI tools
 
 and techniques
 
 
 
 
 -
 
 Responsible for completing tasks and transactions within agreed KPI's
 
 
 
 
 - Knows and
 
 applies fundamental work theories/concepts/processes in own areas of work
 
 
 
 
 Engaging
 
 with business &amp; functional partners to understand business priorities, ask
 
 relevant questions and scope same into a analytical
 
 
 
 
 solution
 
 document calling out how application of data science will improve decision
 
 making
 
 
 
 
 - In depth
 
 understanding of techniques to prepare the analytical data set leveraging
 
 multiple complex data set sources
 
 
 
 
 - Building
 
 Statistical models and ML algorithms with practitioner level competency
 
 
 
 
 - Writing
 
 structured, modularized &amp; codified algorithms using Continuous Improvement
 
 principles (development of knowledge assets and
 
 
 
 
 reusable
 
 modules on GitHub, Wiki, etc) with expert competency
 
 
 
 
 - Building
 
 easy visualization layer on top of the algorithms in order to empower end-users
 
 to take decisions - this could be on a
 
 
 
 
 visualization
 
 platform (Tableau / Python) or through a recommendation set through PPTs
 
 
 
 
 - Working
 
 with the line manager to ensure application / consumption and also think beyond
 
 the immediate ask and spot opportunities to
 
 
 
 
 address the
 
 bigger business questions (if any)
 
 
 
 
 Key people
 
 and teams I work with in and outside of Tesco:
 
 
 
 
 People,
 
 budgets and other resources
 
 
 
 
 
 You will need
 
 
 
 
 
 
 I am
 
 accountable for in my job:
 
 
 
 
 
 
 
 
 
 
 
 
 Enterprise
 
 Analytics Senior Management
 
 
 
 
 Partners
 
 across the global Tesco business
 
 
 
 
 
 
 
 
 
 
 Experience
 
 relevant for this job:
 
 
 
 
 
 
 
 
 
 
 
 
 - Applied
 
 Math: Applied Statistics, Design of Experiments, Linear
 
 
 
 
 -1-2-year
 
 experience in data science application in Retail or CPG
 
 
 
 
 &amp;
 
 Logistic Regression, Decision Trees, Forecasting, Optimization Preferred
 
 algorithms
 
 
 
 
 -
 
 Functional experience: Marketing, Supply Chain, Customer,
 
 
 
 
 - Tech:
 
 SQL, Hadoop, Python, Tableau, MS Excel, MS
 
 
 
 
 Merchandising,
 
 Operations, Finance or Digital PowerPoint
 
 
 
 
 - Soft
 
 Skills: Analytical Thinking &amp; Problem solving, Storyboarding
 
 
 
 
 
 
 
 Whats in it for you?
 
 
 At Tesco, we are committed to providing the best for you.&nbsp;
 
 &nbsp;
 
 As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.&nbsp;
 
 &nbsp;
 
 Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.&nbsp;&nbsp;
 
 &nbsp;
 
 Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable.&nbsp;
 
 &nbsp;
 
 
 Salary
 
 - Your fixed pay is the guaranteed pay as per your contract of employment.&nbsp;
 
 &nbsp;
 
 
 Performance Bonus
 
 - Opportunity to earn additional compensation bonus based on performance, paid annually&nbsp;
 
 &nbsp;
 
 
 Leave &amp; Time-off
 
 - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company&rsquo;s policy.&nbsp;
 
 &nbsp;
 
 
 Making Retirement Tension-FreeSalary
 
 - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.&nbsp;
 
 &nbsp;
 
 
 Health is Wealth
 
 - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.&nbsp;
 
 &nbsp;
 
 
 Mental Wellbeing
 
 - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.&nbsp;&nbsp;
 
 &nbsp;
 
 
 Financial Wellbeing
 
 - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.&nbsp;&nbsp;
 
 &nbsp;
 
 
 Save As You Earn (SAYE)
 
 - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.&nbsp;&nbsp;
 
 &nbsp;
 
 
 Physical Wellbeing
 
 - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.&nbsp;
 
 
 About Us
 
 
 
 Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers.&nbsp;
 
 &nbsp;
 
 Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues.&nbsp;
 
 &nbsp;
 
 
 Tesco Business Solutions:&nbsp;
 
 
 &nbsp;
 
 Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation&nbsp;
</div>

Decision Scientist

Tesco Business Solutions

<div>
 
 About the role
 
 
 At Tesco, we are committed to providing the best for you.
 
 
 As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.
 
 
 Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.&nbsp;Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable.
 
 
 &bull;
 
 
 Salary - Your fixed pay is the guaranteed pay as per your contract of employment.&bull;
 
 
 Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually&bull;
 
 
 Leave &amp; Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company&rsquo;s policy.&bull;
 
 
 Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.&bull;
 
 
 Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.&bull;
 
 
 Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.&nbsp;&bull;
 
 
 Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.&nbsp;&bull;
 
 
 Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.&nbsp;&bull;
 
 
 Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.
 
 
 
 You will be responsible for
 
 
 - Identifying operational improvements and finding solutions by applying CI tools and techniques- Responsible for completing tasks and transactions within agreed KPI's- Knows and applies fundamental work theories/concepts/processes in own areas of workEngaging with business &amp; functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making- In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources- Building Statistical models and ML algorithms with practitioner level competency- Writing structured, modularized &amp; codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs- Working with the line manager to ensure application / consumption and also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any)
 
 
 You will need
 
 
 -1-2 year experience in data science application in Retail or CPG Preferred- Functional experience: Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital
 
 
 - Applied Math: Applied Statistics, Design of Experiments, Linear &amp; Logistic Regression, Decision Trees, Forecasting, Optimization algorithms- Tech: SQL, Hadoop, Python, Tableau, MS Excel, MS Powerpoint- Soft Skills: Analytical Thinking &amp; Problem solving, Storyboarding
 
 
 
 
 
 Whats in it for you?
 
 
 At Tesco, we are committed to providing the best for you.&nbsp;
 
 &nbsp;
 
 As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.&nbsp;
 
 &nbsp;
 
 Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.&nbsp;&nbsp;
 
 &nbsp;
 
 Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable.&nbsp;
 
 &nbsp;
 
 
 Salary
 
 - Your fixed pay is the guaranteed pay as per your contract of employment.&nbsp;
 
 &nbsp;
 
 
 Performance Bonus
 
 - Opportunity to earn additional compensation bonus based on performance, paid annually&nbsp;
 
 &nbsp;
 
 
 Leave &amp; Time-off
 
 - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company&rsquo;s policy.&nbsp;
 
 &nbsp;
 
 
 Making Retirement Tension-FreeSalary
 
 - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.&nbsp;
 
 &nbsp;
 
 
 Health is Wealth
 
 - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.&nbsp;
 
 &nbsp;
 
 
 Mental Wellbeing
 
 - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.&nbsp;&nbsp;
 
 &nbsp;
 
 
 Financial Wellbeing
 
 - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.&nbsp;&nbsp;
 
 &nbsp;
 
 
 Save As You Earn (SAYE)
 
 - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.&nbsp;&nbsp;
 
 &nbsp;
 
 
 Physical Wellbeing
 
 - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.&nbsp;
 
 
 About Us
 
 
 
 Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers.&nbsp;
 
 &nbsp;
 
 Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues.&nbsp;
 
 &nbsp;
 
 
 Tesco Business Solutions:&nbsp;
 
 
 &nbsp;
 
 Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation&nbsp;
</div>

Draup

<div>
 
 Job Description : : Data Analyst
 
 
 
 Location : Bengaluru
 
 
 
 Job Summary
 
 
 
 We are seeking a highly motivated Data Analyst to join our growing team. This role involves analyzing complex datasets, generating actionable insights, and supporting data-driven decision-making across various business functions.
 
 
 You will work closely with crossfunctional teams to help optimize performance and improve business outcomes.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Work closely with engineering teams on data availability and quality.
 </li>
 <li>
 Analyze large and complex datasets to identify trends, patterns, and actionable insights.
 </li>
 <li>
 Track KPIs and performance metrics to support operational and strategic decisionmaking.
 </li>
 <li>
 Translate business needs into data analysis problems and deliver clear, actionable insights.
 </li>
 <li>
 Conduct root cause analysis on business challenges using structured data approaches.
 </li>
 <li>
 Communicate data insights effectively through presentations and reports.
 </li>
 <li>
 Identify gaps in data and opportunities for process automation.
 </li>
 <li>
 Develop and maintain documentation of reports, dashboards, and analytics processes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelors degree in engineering, Statistics, Computer Science, Business, Economics, or a related field.
 </li>
 <li>
 1-2+ years of professional experience in a Data Analyst or Business Analyst role.
 </li>
 <li>
 Proficiency in SQL is mandatory.
 </li>
 <li>
 Experience with Python (Pandas, Numpy)/R for data analysis is mandatory.
 </li>
 <li>
 Strong Excel/Google Sheets skills.
 </li>
 <li>
 Experience with data visualization tools (Tableau, Power BI, Looker, or Superset) is an additional plus.
 </li>
 <li>
 Strong Excel/Google Sheets skills.
 </li>
 <li>
 Basic understanding of statistical methods (descriptive stats, hypothesis testing).
 </li>
 <li>
 Knowledge of PySpark is an additional plus.
 
 
 </li>
 </ul>
 
 Key Skills
 
 
 
 <ul>
 <li>
 Analytical Thinking &amp; Problem-Solving
 </li>
 <li>
 Communication &amp; Presentation Skills
 </li>
 <li>
 Data Storytelling
 </li>
 <li>
 Attention to Detai
 
 
 </li>
 </ul>
 (ref:hirist.tech)
</div>

Draup - Data Analyst - Python/SQL

Tredence Inc.

<div>
 
 
 Job Description &ndash; Analyst Relations
 
 
 
 
 Location:
 
 Bangalore, Delhi, Chennai.
 
 
 
 Experience Required:
 
 7-10 years
 
 
 
 Department:
 
 Marketing /Analyst Relations/Advisory Relations
 
 
 
 
 
 
 About Tredence
 
 
 
 Tredence is a global data science and AI solutions company helping enterprises solve the last-mile problem in analytics. We work at the intersection of strategy, technology, and execution to unlock business value.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a highly motivated
 
 Analyst Relations/Sourcing Advisory Relations
 
 person to strengthen Tredence&rsquo;s presence and positioning in the analyst and advisory ecosystem. The ideal candidate will have proven experience managing analyst relations, building and nurturing long-term relationships with industry analysts, advisors and creating high-impact content and assets to influence market perception.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Analyst Relations
 
 </li>
 <li>
 Develop and maintain strong relationships with key analysts across leading firms (Gartner, Forrester, IDC, Everest, ISG, etc.).
 </li>
 <li>
 Proactively engage analysts to communicate Tredence&rsquo;s value proposition, differentiation, and success stories.
 </li>
 <li>
 Facilitate analyst inquiries, briefings, and strategy sessions with Tredence leaders.
 </li>
 <li>
 
 Advisory Relations
 
 </li>
 <li>
 Develop and strengthen strategic relationships with key/niche advisory and consulting firms.
 </li>
 <li>
 Conduct enablement sessions, workshops, and solution deep-dives with advisory partners to increase awareness and alignment on Tredence&rsquo;s capabilities.
 </li>
 <li>
 Collaborate with advisory firms on joint proposals, client pursuits, and co-innovation opportunities to expand market reach.
 </li>
 <li>
 Represent Tredence in advisor-hosted forums, roundtables, and networking events to deepen strategic connections.
 </li>
 <li>
 Track advisory firm interactions, pipeline influence, and business outcomes, sharing updates with leadership regularly.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Research &amp; RFI Management
 
 </li>
 <li>
 Lead and coordinate responses for analyst RFIs, surveys, and evaluations to ensure accuracy, consistency, and strong positioning.
 </li>
 <li>
 Track deadlines and submissions across multiple analyst reports and quadrants.
 </li>
 <li>
 
 Content &amp; Collateral Creation
 
 </li>
 <li>
 Develop compelling briefing decks, analyst-facing content, and positioning material in alignment with company strategy.
 </li>
 <li>
 Partner with marketing to create thought leadership content and campaign assets that resonate with analyst perspectives.
 </li>
 <li>
 
 Campaign &amp; Program Support
 
 </li>
 <li>
 Design and execute analyst engagement campaigns and influence programs.
 </li>
 <li>
 Monitor coverage, analyst mentions, and market perception to provide feedback and insights to internal stakeholders.
 </li>
 <li>
 
 Internal Collaboration
 
 </li>
 <li>
 Work closely with business, marketing, and leadership teams to align analyst relations with GTM priorities.
 </li>
 <li>
 Educate internal stakeholders in analyst expectations and engagement best practices.
 </li>
 </ul>
 
 
 Desired Skills &amp; Qualifications
 
 
 <ul>
 <li>
 8+ years of proven experience in Analyst Relations/Advisory Relations within the technology or consulting industry.
 </li>
 <li>
 Strong understanding of the analyst and advisory ecosystem and research methodologies.
 </li>
 <li>
 Hands-on experience with
 
 RFI/RFP responses
 
 and managing complex submissions.
 </li>
 <li>
 Exceptional written and verbal communication skills with an ability to translate technical offerings into impactful narratives.
 </li>
 <li>
 Strong project management skills with the ability to juggle multiple priorities and deadlines.
 </li>
 <li>
 Established network of analyst and advisory firm relationships (Gartner, Forrester, IDC, Everest, ISG, etc.).
 </li>
 <li>
 Experience in developing
 
 briefing decks, positioning documents, and campaign content
 
 .
 </li>
 <li>
 Self-driven, detail-oriented, and able to thrive in a fast-paced, growth-oriented environment.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 
 At Tredence, you&rsquo;ll be part of a fast-growing organization shaping the future of data and AI. This role provides a unique opportunity to amplify Tredence&rsquo;s voice in the market, influence analyst perception, and make a visible impact on the company&rsquo;s growth trajectory.
 
 
 
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Analyst Relations Specialist

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