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bi analysts sigma

LTIMindtree

<div>
 
 BI Analysts Sigma:
 
 
 
 
 
 Expected Responsibilities:
 
 
 
 
 <ul>
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 Analyze current dashboards and data products including detailed as is and to be landscape analysis from both technical and business process perspectives
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 Conduct data exploration profiling and documentation activities
 </li>
 <li>
 Prepare detailed usage statistics data lineage and mapping of existing to new dashboards
 </li>
 <li>
 Perform gap analysis between old and new data products identify impacted visualizations and propose solutions for retrofitting or building new dashboards
 </li>
 <li>
 Validate and test dashboards for data accuracy consistency and user requirements including UAT
 </li>
 <li>
 Collaborate with business stakeholders to interpret findings and translate them into actionable recommendations
 </li>
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 Document metadata data definitions lineage and transformation logic
 </li>
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 Develop comprehensive documentation and user guides for dashboards and business logic
 </li>
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 Support adhoc analysis and scenario modeling for strategic decision support
 </li>
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 Called out Tools Technologies
 </li>
 </ul>
 
 Power BI
 
 
 Tableau
 
 
 Sigma
 
 
 Excel
 
 
 Alteryx
 
 
 PowerPoint
 
 
 Context
 
 <ul>
 <li>
 BI Analysts are expected to work with a variety of dashboarding and data visualization tools Power BI Tableau Sigma perform data exploration and profiling Excel Alteryx and prepare documentation and presentations PowerPoint
 </li>
 </ul>
</div>

BI Analysts Sigma

Turing

<div>
 
 
 About Turing:
 
 
 
 Turing is one of the world&rsquo;s fastest-growing AI companies, working at the frontier of advanced AI systems. We partner with the world&rsquo;s leading AI labs to advance model capabilities (reasoning, coding, agentic behavior, multimodality, multilinguality, and frontier knowledge) and translate these innovations into real-world systems that solve mission-critical challenges for global enterprises.
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for exceptional strategy consultants to help shape Turing&rsquo;s most important initiatives. This is an opportunity to work directly on high-impact AI strategy projects&mdash;bringing structured thinking, business rigor, and consulting-level frameworks to some of the most exciting challenges in frontier technology.
 
 
 
 
 
 The ideal candidate has experience at a
 
 top-tier consulting firm (McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, LEK, Kearney, Strategy&amp;, EY-Parthenon, or Monitor Deloitte)
 
 .
 
 Analysts and above are encouraged to apply
 
 , provided they demonstrate the ability to work independently and deliver structured, high-impact solutions.
 
 
 
 
 
 
 What You&rsquo;ll Work On:
 
 
 <ul>
 <li>
 
 Design structured frameworks and business scenarios
 
 to evaluate opportunities and risks in deploying frontier AI solutions.
 </li>
 <li>
 
 Solve complex, scenario-driven business challenges
 
 with clarity, rigor, and a consulting-style approach.
 </li>
 <li>
 
 Translate ambiguity into clear, actionable recommendations
 
 that drive strategic decision-making.
 </li>
 <li>
 
 Lead and guide small project teams
 
 when required, ensuring alignment, quality, and rigor in outcomes.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 3+ years at a top-tier consulting firm
 
 in strategy or corporate development (analysts with strong potential are welcome).
 </li>
 <li>
 Demonstrated ability to structure ambiguity and deliver
 
 CxO-level insights
 
 .
 </li>
 <li>
 Exceptional problem-solving and analytical skills.
 </li>
 <li>
 Clear, compelling communicator with strong executive presence.
 </li>
 <li>
 Ability to independently drive workstreams while collaborating with global stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Engagement Details:
 
 
 <ul>
 <li>
 Flexible engagement:
 
 20&ndash;40 hours/week
 
 (remote, with overlap in PST hours).
 </li>
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 Initial contract: 6 months (with potential for extension on strategic projects).
 </li>
 <li>
 Work on
 
 frontier AI strategy initiatives
 
 with exposure to senior leadership.
 </li>
 </ul>
 
 
 
 
 
 Why Join Turing:
 
 
 <ul>
 <li>
 
 Work directly with a global technology leader
 
 on mission-critical AI initiatives, helping refine and improve frontier AI models.
 </li>
 <li>
 
 Collaborate with global experts in AI research and strategy
 
 , gaining exposure to cutting-edge technical and business perspectives.
 </li>
 <li>
 
 Shape the future of AI adoption
 
 by applying top-tier consulting skills to high-stakes, next-generation challenges.
 </li>
 </ul>
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Management Consultant - 46022

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

TransUnion

<div>
 TransUnion's Job Applicant Privacy Notice
 
 
 
 What We'll Bring
 
 
 
 We are seeking a Data Analyst with strong SQL and Spark SQL skills, and experience in ETL setup. This is a data analysis role, Exposure to
 
 
 cloud platforms like GCP or AWS is a plus..
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Write and optimize SQL/Spark SQL queries for data extraction and analysis.
 </li>
 <li>
 Support ETL setup and data validation processes.
 </li>
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 Create reports and dashboards using BI tools (e.g., Power BI, Tableau).
 </li>
 <li>
 Perform data quality checks and root cause analysis.
 </li>
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 Generate and maintain data reports using tools like Excel, or other reporting platforms.
 </li>
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 Analyze and interpret Java logs to troubleshooting and report issues.
 </li>
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 Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 1+ years of experience in SQL and Spark SQL and Unix commands.
 
 
 <ul>
 <li>
 Basic understanding of GCP or AWS (preferred).
 </li>
 <li>
 Intermediate analytical and communication skills
 
 
 </li>
 </ul>
 
 Impact You'll Make
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 
 
 <ul>
 <li>
 Strong problem-solving and communication skills
 
 
 </li>
 </ul>
 This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
 
 
 TransUnion Job Title
 
 
 Analyst, Data Analysis and Consulting
</div>

Data Analyst

PepsiCo

<div>
 
 Overview
 
 
 
 The role holder will be part of R2P team supporting the UK Ops. The team will be responsible for sourcing, negotiating and buying of goods materials and services to ensure that the company operational needs are met, taking into account price, quality and delivery and to ensure continuity of operations. The role holder will also support the BU governance of procurement policy compliance and support sites on urgent material requests.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Create and place all purchase orders;
 </li>
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 Logistics - with vendors for logistics services and coordinate proper invoicing
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 HSE - Ordering PPE, vendor management, quality signage / local site based needs
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 QFS - Procure chemicals / testing equipment / site calibration / Lab requirements.
 </li>
 </ul>
 <li>
 Approve requisitions and manage invoice queries
 </li>
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 Oversees order placement and delivery, governing requisition compliance and adherence
 </li>
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 initiate and support OEM conversion activities
 </li>
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 Managing SLA agreements with major suppliers
 </li>
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 Govern compliance, track and measure and manage escalations through lead as required.
 </li>
 <li>
 Managing SLA agreements with major suppliers
 </li>
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 Arrange Ad-hoc SP request from Sites, Sector teams
 </li>
 <li>
 Liaison with engineering regarding non-compliance report (NCR) and supplier quality issues
 </li>
 <li>
 Updating purchase info records and sourcing lists
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Education: Accounting, Finance, Economics, Engineering, Administration, Data Analytics or SC
 </li>
 <li>
 Minimum 4-5 years of P2P process
 </li>
 <li>
 Computer literate - Advanced Excel, Power Point, Power BI, SAP
 </li>
 <li>
 Language: English Fluency both written and verbal required.
 </li>
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 Strong analytical and problem-solving skills in order to identify and formulate effective actions and prioritize
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 Experience and comfort with digital systems and tools
 </li>
 <li>
 Technical knowledge and understanding of technical materials and parts and nature of works, demonstrated by a suitable HNC diploma and min 3 years experience in procurement admin of technical/non commercial items; OR University graduate in a technical discipline and 0-1 year working experience or internship in a procurement environment of technical items.
 </li>
 <li>
 Working knowledge of SAP &amp; Buying plaforms (ie Ariba), Power Apps and BI
 </li>
 </ul>
</div>

Assistant Manager

Tata Consultancy Services

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
 <ul>
 <li>
 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
 </li>
 <li>
 Python, R etc.
 </li>
 <li>
 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
 </li>
 <li>
 Good knowledge of end-to-end data science implementation including data ingestion, integration
 </li>
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 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
 </li>
 </ul>
 
 
 
 
 GOOD TO HAVE SKILL:
 
 <ul>
 <li>
 Masters degree in a quantitative discipline.
 </li>
 <li>
 MLOps/ DevOps
 </li>
 <li>
 BI tools like Power BI
 </li>
 </ul>
 
 
 
 
 ROLES AND RESPONSIBILITIES:
 
 <ul>
 <li>
 Ability to tailor communications to a variety of internal and external audiences.
 </li>
 <li>
 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
 </li>
 <li>
 Effective written and verbal communication and interpersonal skills.
 </li>
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 Ability to engage with senior C-level business leaders.
 </li>
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 Calm under pressure, ability to juggle multiple priorities and ambiguity.
 </li>
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 Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
 </li>
 <li>
 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
 </li>
 <li>
 Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
 </li>
 <li>
 Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
 </li>
 <li>
 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
 </li>
 <li>
 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
 </li>
 </ul>
 
 
</div>

Data Scientist

<div>
 
 Overview
 
 
 
 NRM strategy Playbook - Associate plays a pivotal role in our organization, with a primary focus on brand ladder and price pack architecture analysis, Mix Management and Promo Strategy. This role encompasses a range of responsibilities related to optimizing our product and pricing strategies to maximize brand equity, profitability, and consumer engagement.
 
 
 Key responsibilities of the Brand Ladder / Price Pack Architecture (PPA) Playbook - Associate include:
 
 
 <ul>
 <li>
 Conducting in-depth market research and data analysis to identify and evaluate brand positioning / price pack architecture opportunities
 </li>
 <li>
 Analyzing consumer behavior and preferences to gain insights into how our brand ladder / pricing strategies impact purchasing decisions
 </li>
 <li>
 Developing and refining brand ladder and PPA models and methodologies to streamline decision-making / enhance operational efficiency
 </li>
 <li>
 Collaborating with cross-functional teams to ensure that our brand and pricing strategies align with overarching business objectives and regulatory requirements
 </li>
 <li>
 Utilizing data-driven insights to enhance the overall consumer experience and perception of our brands and pricing structures
 </li>
 <li>
 Contributing to the long-term brand and pricing strategy of the organization, actively participating in the creation of innovative approaches to optimize brand equity and profitability
 </li>
 <li>
 The Brand Ladder / Price Pack Architecture (PPA) Playbook - Associate leverages advanced analytical skills and tools to shape our brand and pricing strategies, ensuring they are aligned with our strategic goals, compliance standards, and customer satisfaction objectives
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 Functional Responsibilities
 
 
 <ul>
 <li>
 Perform advanced analytics using Tableau/Power BI and develop predictive models, regression modeling, price elasticity analysis, and promotion optimization to extract actionable insights from data
 </li>
 <li>
 Collaborate on sector NRM strategic projects, such as promotions optimization, terms priorities, competitor benchmarking, and Price Pack Architecture (PPA) initiatives, to drive revenue realization
 </li>
 <li>
 Conduct statistical and trend analysis to identify market opportunities, highlight sector strengths, and provide recommended corrective actions to enhance performance
 </li>
 <li>
 Monitor existing KPI metrics, develop new relevant metrics, and identify correlations and root causes to support data-driven decision-making
 </li>
 <li>
 Design and build visualization dashboards to accelerate information-to-action at scale, enabling easy access to critical insights for various stakeholders
 </li>
 <li>
 Develop programs, methodologies, and reports for analyzing and presenting data, making data-driven insights accessible and actionable
 </li>
 <li>
 Ensure the timely and accurate submission of reports and data to the Revenue Management teams in line with agreed Service Level Agreements (SLA)
 </li>
 <li>
 Improve the utility of operational and performance data within various teams, supporting Business Intelligence (BI), reporting, analysis, and insights efforts
 </li>
 <li>
 Assist the GBS Commercial lead in developing an ongoing training and capability plan for COE associates, ensuring continuous growth and expertise development within the team
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Broader data analysis capabilities. Previous experience in Consumer Insights, Key account Management, Trade Marketing or CPG consulting
 </li>
 <li>
 Experience in pricing and promotions management, demonstrating a deep understanding of pricing strategies, market dynamics, and consumer behavior
 </li>
 <li>
 Proven experience working in the Fast-Moving Consumer Goods (FMCG) sector with a strong understanding of business processes related to Revenue Management, including promotions, pricing, and sales
 </li>
 <li>
 Excellent visualisation skills with the ability to translate complex data into actionable solutions and processes, enabling data-driven decision-making
 </li>
 <li>
 Advanced proficiency in Microsoft Excel and a strong command of PowerPoint, with the ability to quickly learn various in-house software applications for data analysis and reporting
 </li>
 <li>
 Working knowledge of Power BI software is added advantage
 </li>
 <li>
 Ability to function effectively in a team environment and collaborate with individuals across the organization, as pricing and promotions strategies often require cross-functional teamwork
 </li>
 <li>
 Good verbal and written communication skills to effectively interact with stakeholders and present findings and recommendations in a clear and compelling manner
 </li>
 </ul>
</div>

Associate Manager

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