business analyst

data analyst

account manager

consultant

product analyst

analytics consultant

Infosys Consulting

<div>
 
 
 Job Description: Consultant, Business Consulting &ndash; Data &amp; Analytics
 
 
 
 
 
 
 The vision of the Data &amp;Analytics team is to help our clients become Data/Analytics/Insights driven. Consultant is a key member of the team expected to help deliver the vision. We are seeking experienced Management Consultants with a background in Data &amp; Analytics to join us.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Elicit high-level business requirements, use case and detailed functional specs. Create deliverables such as requirement traceability matrices, workflow diagrams, and data dictionary.
 </li>
 <li>
 Collect, clean and structure data from multiple sources (Databases, APIs, Spreadsheets, Cloud platforms like Databricks, Snowflake etc)
 </li>
 <li>
 Design approaches to enhance data quality.
 </li>
 <li>
 Conduct exploratory and statistical analysis to identify trends, anomalies and opportunities
 </li>
 <li>
 Develop KPIs, dashboards and visualization reports that communicate findings clearly
 </li>
 <li>
 Write SQL queries, Python scripts or equivalent for data wrangling and analysis
 </li>
 <li>
 Design data governance models.
 </li>
 <li>
 Present insights and recommendations to business and technical stakeholders in a clear and compelling way
 </li>
 <li>
 Support sales pursuits and firm building efforts.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Minimum of bachelor&rsquo;s degree or higher in marketing, economics, mathematics, or related technical specialty.
 </li>
 <li>
 3+ years of relevant work experience with 2 years of experience in Management Consulting.
 </li>
 <li>
 Ability to travel 4-5 days a week to multiple local, state and national client locations.
 </li>
 <li>
 Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Exposure to one or more domains such as: Banking, Finance, Insurance, Consumer Goods, Retail, Manufacturing Industries.
 </li>
 <li>
 Strong proficiency in SQL and experience with relational databases.
 </li>
 <li>
 Knowledge of Python or equivalent for data analysis and statistical modelling
 </li>
 <li>
 Exposure to using AI/ML/Automation creatively for client challenges.
 </li>
 <li>
 Experience with Agile, Scrum methodologies, Data Bricks and Snowflake.
 </li>
 <li>
 Experience with Visual Analytics tools like Tableau, Power BI, and Qlik suite.
 </li>
 <li>
 Sound knowledge and application skills in Business Analytics [Data Engineering, ETL, Data Modelling, Data Science] / Data Management/ Platform Modernization [MS Azure, AWS] and/or Program Management and Strategy consulting.
 </li>
 <li>
 Strong interpersonal, leadership and communication skills
 </li>
 </ul>
 
 
 
 
 This job description may not cover or contain a comprehensive listing of all activities, duties and responsibilities that are required of the employee.
 
 
 
 Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: -
 
 
 <ul>
 <li>
 Medical/Dental/Vision/Life Insurance
 </li>
 <li>
 Long-term/Short-term Disability
 </li>
 <li>
 Health and Dependent Care Reimbursement Accounts
 </li>
 <li>
 Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
 </li>
 <li>
 401(k) plan and contributions dependent on salary level
 </li>
 <li>
 Paid holidays plus Paid Time Off
 </li>
 </ul>
 
 
</div>

Consultant

Eli Lilly and Company

<div>
 At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
 
 
 At Lilly, we believe in the talent of our workforce. One of the best ways to utilize and develop that talent is to use our existing workforce to fill new and/or open positions. If you are looking for a new position within Lilly, you can view and apply to open roles posted in the internal job posting system. You must meet the minimum qualifications outlined in the job description and have/obtain work authorization in the country the position is located in order to be considered. When applying internally for a position, your current supervisor will receive notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying.
 
 
 
 Path/Level
 
 
 
 P2
 
 
 Note: Roles are posted at the lowest level of a band, however, employees should search across all levels of the band to identify all opportunities. Employees hired on banded positions (ex: P1-P3, R1-R2, B1-B3, etc.) transfer at their current level, despite the level indicated on the job posting. For example, if a P2 candidate is selected for a P1-P3 banded position, the candidate will remain a P2 in the new role.
 
 
 
 Eli Lilly Services India Pvt Ltd
 
 
 
 
 Consultant: BI&amp;A Medical Affairs - CMH
 
 
 
 At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease. We&rsquo;re looking for people who are determined to make life better for people around the world.
 
 
 The Lilly Bengaluru Business Insights &amp; Analytics team was started in 2017 with the objective of using innovative data mining and analytics to support business decisions to Marketing and Access functions in the US and ex-US affiliates (focused on in-line and pre-launch brands). This team has rapidly grown and currently comprises of more than 100 staff members, with varied backgrounds and skills across data management, data sciences, analytical techniques, pharmaceutical commercial operations, and business insights. The team provides analytics outcomes for driving decision making across Lilly&rsquo;s Marketing, Sales, Payer Access, Medical Affairs, and a range of other functions.
 
 
 To support these teams in their decision-making, a data and analytics team has been set up simultaneously in Indianapolis (HQ) and Lilly Bengaluru. This team is responsible for setting up the data warehouses necessary to handle large volumes of digital streaming data, create meaningful analyses using that data, and deliver recommendations to leadership.
 
 
 As part of the Lilly Bengaluru team, we have an exciting opportunity for the role of a Consultant: BI&amp;A Medical Affairs CMH who will be an integral part of Medical Affairs Analytics within BI&amp;A. The purpose of this role is to perform Medical Affairs Analytics execution and delivery, ensuring the analytics engagement model successfully supports the Medical Affairs organization in making data-driven decisions.
 
 
 The position will leverage their deep understanding of various LillyUSA &amp; Medical Affairs specific data sources to lead execution of critical analyses, and to communicate key outputs to decision makers. This analytics leader will be responsible for ensuring business decisions are backed by data driven insights and recommendations from analytics.
 
 
 
 Key Roles And Responsibilities
 
 
 
 
 Project Execution
 
 : as individual contributor, primarily responsible for account level analytics to support business decisions
 
 
 <ul>
 <li>
 Actively participating in various phases of the account-level/payer access analytics project including kick-off, methodology development, execution, insight generation and data visualizations
 </li>
 <li>
 Build deep expertise on necessary data sets and supports data enabled decision making using a range of data sources (patient level claims databases, EMR/EHR/Lab, publications, clinical trials etc) and internal Lilly data (EBD, Veeva, Customer 360 etc)
 </li>
 <li>
 Ensure high stakeholder satisfaction through consistent delivery of high quality, timely and insightful outputs throughout analytics value chain on various objectives related to the patient journey, unmet needs, omnichannel engagement, segmentation, targeting, and data support through data mining and warehousing
 </li>
 <li>
 Develop into a trusted advisor by actively participating in various phases of the project including kick-off, methodology development, execution, insight generation and data visualization and results presentation to various stakeholders
 </li>
 <li>
 Participating in meetings with stakeholders and communicating the final outputs and recommendations
 </li>
 <li>
 Develop foundational understanding of Medical Affairs strategy, critical objectives, transformation roadmap to ensure analytics recommendations and key workstreams align to the broader organizational strategy
 </li>
 <li>
 Develop/Conceptualize and prioritize analytic solutions that help answer Medical Affairs&rsquo; most critical questions and meet their needs with data driven insights
 </li>
 <li>
 Collaborate with LILLY Bengaluru, newly formed Data Engineering team and Advanced Analytics &amp; Data Science teams on Medical Affairs analytics deliverables in seamless delivery model across different locations and teams
 </li>
 <li>
 Ensure business decisions are made with solid supporting evidence grounded in analytics that include actionable business insights and recommendations
 </li>
 <li>
 Build and understand the customer journey, pain points, and drivers of behavior as it relates to medical unmet need projects and omnichannel engagement
 
 
 
 </li>
 </ul>
 
 Project management
 
 : support the team leader as needed on the below tasks
 
 
 <ul>
 <li>
 Creation and maintenance of standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs.
 </li>
 <li>
 Project management for seamless project execution, prioritization, and high-quality delivery
 </li>
 <li>
 Facilitates shared learning forums to identify challenges and establish best practices across the team.
 </li>
 <li>
 Expansion of analytical capability of the team by taking on more complex projects and delivering value
 </li>
 <li>
 Ensure compliance with all privacy and contractual obligations related to the use of data
 
 
 
 </li>
 </ul>
 
 Experience Requirements
 
 
 
 <ul>
 <li>
 8-10 years of relevant experience in an analytical function (BI, data analytics, forecasting etc) supporting Pharma/Lifesciences Commercial ops internally or in consulting.
 </li>
 <li>
 Strong track record of leading teams to deliver and delivering complex projects
 </li>
 <li>
 Prior experience in therapy areas including Diabetes, Immunology, Oncology, Neuroscience, or analytics related areas (targeting, segmentation, omnichannel analytics) is highly preferred
 </li>
 <li>
 Prior experience of working on a range of pharma/healthcare data sets highly preferred, including but not limited to syndicated insurance claims databases (IQVIA, Symphony, etc), EMR/EHR/Lab data (IBM MarketScan, Prognos etc), National/international patient registries, publications, clinical trials, open-payments data
 </li>
 <li>
 3-5 years of analytics experience with demonstrated ability to think strategically in an ambiguous environment in analytics, especially in pharma/other lifesciences
 </li>
 <li>
 Coursework/qualifications in analytics, statistics, RWE generation, quantitative health economics, patient outcomes will be a plus
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Graduation/ Post-Graduation in Medical/ Pharma domain else Undergrad in quantitative field (Engg, Math/Stats, quant economics/econometrics etc) with relevant work experience mentioned below
 
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Strong experience in SQL; fluency in one of R/Python
 </li>
 <li>
 Hands-on experience with at least 1 data viz tool like Tableau, PowerBI etc
 </li>
 <li>
 Advanced MS-office skills (MS-Excel and MS-PowerPoint)
 
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong work ethic and personal motivation
 </li>
 <li>
 Good presentation skills
 </li>
 <li>
 Interpersonal and communication skills with ability to work across time zones
 </li>
 <li>
 Ability to operate effectively in an international matrix environment
 </li>
 <li>
 Strong stakeholder management skills
 </li>
 <li>
 Strong team player who is dynamic and result oriented
 
 
 
 </li>
 </ul>
 Note: When applying internally for a position your current supervisor receives notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying.
 
 
 Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
 
 
 #WeAreLilly
 
 
 Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
 
 
 Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
 
 
 #WeAreLilly
</div>

Consultant - BI&A Global Medical Affairs - CMH

Weekday AI (YC W21)

<div>
 This role is for one of Weekday's clients
 
 
 Salary range: Rs 1000000 - Rs 2000000 (ie INR 10-20 LPA)
 
 
 Min Experience: 6 years
 
 
 Location: Bengaluru
 
 
 JobType: full-time
 
 
 
 Requirements
 
 
 
 We are seeking a highly skilled and experienced
 
 Senior Consultant - Market Mix Modelling (MMM)
 
 to join our advanced analytics team. The ideal candidate will bring deep expertise in
 
 Market Mix Modelling, Python, SQL, and AI/ML applications
 
 with a strong focus on delivering data-driven insights to optimize marketing investments and strategies. This role is critical in helping business leaders understand the impact of their marketing activities, optimize spend allocation, and improve ROI across channels.
 
 
 The Sr. Consultant will lead projects end-to-end, including scoping, model building, diagnostics, insights generation, and business presentations. The position also requires close collaboration with cross-functional stakeholders such as marketing, sales, finance, and strategy teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Market Mix Modelling (MMM):
 </li>
 <ul>
 <li>
 Lead the design, development, and deployment of MMM models to measure marketing effectiveness.
 </li>
 <li>
 Build both short-term and long-term models to evaluate immediate campaign outcomes and long-term brand/market impacts.
 </li>
 <li>
 Perform scenario planning, forecasting, and simulations for marketing strategies.
 </li>
 </ul>
 <li>
 Data Analytics &amp; Engineering:
 </li>
 <ul>
 <li>
 Work extensively with Python for data wrangling, model building, statistical analysis, and visualization.
 </li>
 <li>
 Use SQL to extract, transform, and validate large datasets from multiple sources.
 </li>
 <li>
 Ensure data quality, consistency, and readiness for modelling purposes.
 </li>
 </ul>
 <li>
 Statistical &amp; Machine Learning Models:
 </li>
 <ul>
 <li>
 Apply advanced statistical modelling techniques, AI/ML algorithms, and diagnostics to evaluate the accuracy and stability of MMM models.
 </li>
 <li>
 Incorporate evolving techniques such as Bayesian methods and AI-driven MMM for scalability and automation.
 </li>
 </ul>
 <li>
 Optimization &amp; Budget Allocation:
 </li>
 <ul>
 <li>
 Develop optimization frameworks for media mix, budget allocation, and spend efficiency.
 </li>
 <li>
 Provide recommendations on how to reallocate spend across channels to maximize ROI.
 </li>
 </ul>
 <li>
 Business Insights &amp; Communication:
 </li>
 <ul>
 <li>
 Translate complex data and model outputs into clear, actionable insights for business leaders.
 </li>
 <li>
 Collaborate with retail business, marketing, and finance teams to ensure MMM outputs align with real-world KPIs and objectives.
 </li>
 <li>
 Present findings through impactful dashboards, reports, and presentations.
 </li>
 </ul>
 <li>
 Campaign &amp; Retail Business Understanding:
 </li>
 <ul>
 <li>
 Partner with marketing teams to assess campaign planning, performance measurement, and strategic decision-making.
 </li>
 <li>
 Provide PCA (Post-Campaign Analysis), RCA (Root Cause Analysis), and deep-dive insights into campaign effectiveness and customer behavior.
 
 
 </li>
 </ul>
 </ul>
 
 Core Competencies &amp; Skills
 
 
 
 <ul>
 <li>
 Technical Expertise:
 </li>
 <ul>
 <li>
 Strong programming skills in Python (data processing, modelling, visualization).
 </li>
 <li>
 Proficiency in SQL for data management and querying.
 </li>
 <li>
 Hands-on experience with AI/ML frameworks applied to MMM.
 </li>
 </ul>
 <li>
 Domain Knowledge:
 </li>
 <ul>
 <li>
 5-8 years of direct experience in Market Mix Modelling with a proven record of delivering business impact.
 </li>
 <li>
 Familiarity with retail business, media channels, and campaign planning.
 </li>
 <li>
 Strong understanding of business KPIs such as ROI, sales lift, churn, and brand equity.
 </li>
 </ul>
 <li>
 Analytical &amp; Business Acumen:
 </li>
 <ul>
 <li>
 Expertise in statistical modelling, diagnostics, and interpreting marketing impact.
 </li>
 <li>
 Deep knowledge of optimization techniques for media mix and budget allocation.
 </li>
 <li>
 Ability to balance technical depth with business storytelling.
 </li>
 </ul>
 <li>
 Soft Skills:
 </li>
 <ul>
 <li>
 Strong analytical thinking and problem-solving abilities.
 </li>
 <li>
 Excellent communication skills with the ability to influence senior stakeholders.
 </li>
 <li>
 Collaborative mindset to work with cross-functional teams.
 
 
 </li>
 </ul>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, or related fields.
 </li>
 <li>
 6+ years of relevant experience in MMM, data science, or advanced analytics.
 </li>
 <li>
 Strong track record of applying MMM to retail and consumer-focused businesses.
 </li>
 </ul>
</div>

Sr Consultant - Market Mix Modelling

IQVIA India

<div>
 
 
 Project Role:
 
 Analyst/ Consultant - HEOR
 
 
 
 Work Experience:
 
 4+ years
 
 
 
 Work location:
 
 Any IQVIA Office location in India
 
 
 
 Mode of work:
 
 Hybrid
 
 
 
 
 
 
 Job Overview:
 
 
 
 Conduct literature reviews to collect data, analyses it and run country specific adaptations of cost effectiveness analysis models and budget impact analysis models under senior oversight.
 
 
 Support main modeler on building de novo pharmacoeconomic models across diverse therapy areas. Typical projects include the design and programming of budget impact analysis models and cost-effectiveness analysis models (such as: Markov, decision tree, partitioned survival).
 
 
 Support the preparation of technical documents associated with the models such as technical report, user guide and collaborates with medical writers for publications related to PE models. Along with conducting tasks on the model and undertakes quality control of work.
 
 
 Build working relationships and actively collaborate with key internal and external stakeholders to deliver high quality output. You will also present analyses conducted, either verbally, or in graphical, tabular, or descriptive form.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Conduct literature review and collect model inputs
 </li>
 <li>
 Run country specific adaptation of CEA and BIA models including quality checks
 </li>
 <li>
 Support main/senior modeler on development health economic decision-analytic models to undertake either budget impact analysis or cost-effectiveness/cost-utility analysis, including decision tree, Markov, partitioned survival models
 </li>
 <li>
 Support development of deliverables such as model analysis plan(s), technical reports, and user guides
 </li>
 <li>
 Support dissemination of findings through articles, posters, and presentations
 </li>
 <li>
 Support development of global modelling materials, processes, and methodology with HE Modelling, Centre of Excellence.
 </li>
 <li>
 Contribute to other process improvement efforts including development of source repository Participate in client calls, as required
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in the life science field, or equivalent
 </li>
 <li>
 0-2 years of hands-on working on country specific adaptation and supporting the build of de novo Pharmacoeconomic models and running analysis in the industry or academia bringing in a combination of strong health economics knowledge and strategic insights.
 </li>
 <li>
 Basic understanding of statistics, advanced analytics is a plus. Need to be skilled in advanced excel and Visual Basic for Applications (VBA).
 </li>
 <li>
 Ability to conduct allocated tasks relatively unsupervised with management sense-checking support / scientific oversight by technical experts
 </li>
 <li>
 Strong interpersonal and communication skills, must be good in verbal and written English
 </li>
 <li>
 Familiarity with literature reviews, ability to collect information from secondary domain and analyze information and come up with strategic insights
 </li>
 <li>
 Excellent attention to detail and accuracy
 </li>
 </ul>
 
 
 
 
 Ability to establish and maintain effective working relationships with coworkers, managers and customers
 
 <ul>
 <li>
 Ability to proactively identify potential issues/risks, consider solutions, and raise with the customer, with senior guidance and input
 </li>
 <li>
 Proficiency in MS Office including advanced Excel, Word, and PowerPoint
 </li>
 <li>
 Proficiency in VBA (visual basic for applications)
 </li>
 <li>
 Familiarity with one software &ndash; either R or STATA would be good to have
 </li>
 </ul>
 
 
 
 
 
 Join IQVIA to see where your skills can take you
 
 
 <ul>
 <li>
 Global exposure
 </li>
 <li>
 Collaborative and supportive team environment
 </li>
 <li>
 Access to cutting-edge and innovative, in-house technology
 </li>
 <li>
 Excellent career development and progression opportunities
 </li>
 <li>
 Work-Life Balance, with a strong focus on a positive well-being
 </li>
 </ul>
</div>

Consultant- HEOR

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Work with broader team to build, analyze and improve the AI solutions.
 </li>
 <li>
 You will also work with our software developers in consuming different enterprise applications.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
 </li>
 <li>
 Proficient in Python with focus on Data Analytics Packages.
 </li>
 <li>
 Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.
 </li>
 <li>
 Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
 </li>
 <li>
 Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience with conversation analytics. Experience with cloud technologies
 </li>
 <li>
 Experience with data exploration tools such as Tableu
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years work experience with a Master's degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 Experience with privacy-preserving technologies and data regulations.
 </li>
 <li>
 Understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling (MMM).
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Driving business growth and help the team to empower advertisers with the tools and insights they need to navigate the evolving digital advertising landscape.
 </li>
 <li>
 Develop quantitative models and frameworks to assess the business opportunity associated with improvements in attribution, incrementality testing, full-funnel measurement, and online-to-offline (O2O) measurement.
 </li>
 <li>
 Quantify the impact of data deprecation and regulatory changes on Ads performance. Develop metrics to track the effectiveness of the mitigation strategies and data durability initiatives.
 </li>
 <li>
 Define success metrics for the efforts to create a unified measurement platform. Analyze the impact of closing measurement gaps and enhance the customer value proposition.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Data Scientist Product, Analytics, Insights and Measurement

Explore 238+ Analytics consultant in Mangaluru this September. Find roles across top companies and apply now to boost your career.

238 analytics consultant jobs IN Mangaluru

Consultant

Consultant - BI&A Global Medical Affairs - CMH

Sr Consultant - Market Mix Modelling

Consultant- HEOR

Data Scientist-Artificial Intelligence

Data Scientist Product, Analytics, Insights and Measurement

Data Scientist Product, Analytics, Insights and Measurement