39 Tidyverse Jobs

Job Purpose; To evaluate and validate the quality, accuracy, and relevance of the data and analytics outputs, and ensure they adhere to the standards and best To stay updated with the latest trends and developments in the data and analytics field, and leverage them to improve the team's capabilities and performance To lead and mentor a team of data analysts and engineers, and foster a culture of learning, innovation, and collaboration within the team and across the organization Key Accountabilities Tag Management • Own channel wise mapping and click to visit sanity • Implement best practices in Tag Management Adobe Analytics Implementation • Define and own dimensions and metrics • Define channel rules and custom implementation as per business objectives • Own GA/AA versus DB variance in transactions and revenue • Installing, configuring, testing, and troubleshooting Adobe software products such as Adobe Experience Manager, Adobe Analytics, Adobe Target, and Adobe Campaign. • Providing technical guidance and best practices for Adobe software implementation and integration. • Creating and maintaining documentation and reports on Adobe software performance, issues, and solutions. A/B Testing & Personalization • Drive the overall conversion optimization and landing page optimization agenda • Co-own traffic to lead conversion with Product Attribution and MIS Automation • Manage the complexity of multiple truths (Adwords, DBM, Facebook, Google analytics, Internal CRM) and converge on a single truth • Automation of critical dashboards for decision making and business insights Channel mix modelling & Data driven attribution • Answer the ultimate questions. How much to spend in which channel? • Who to market, when to spend and which channel to use? • How to successfully move from campaign to audience marketing? Other Competencies • Apply advanced statistical and analytical techniques, such as machine learning, predictive modeling, and optimization, to generate insights and solutions for complex business problems and opportunities Technical Competencies (Preferred domain knowledge) SQL: Competency to write and execute complex queries, join multiple tables, create views and functions, and optimize the performance of your database. Python: Ability to use Python for data manipulation, processing, and modeling, as well as for creating web applications and APIs. You should also be proficient in using libraries such as pandas, numpy, scipy, sklearn, matplotlib, seaborn, and flask. R: Use R for statistical analysis, data visualization, and machine learning. You should also be familiar with popular packages such as tidyverse, ggplot2, dplyr, tidyr, caret, and shiny. Tableau: Ability to create interactive dashboards and reports using Tableau, as well as connect to various data sources and perform data blending and aggregation. Power BI: Competency to use Power BI for data visualization and business intelligence, as well as create and share reports and dashboards using Power BI Desktop and Power BI Service. Familiar with web services and APIs such as REST, SOAP, and OAuth. Skills/Qualities Required Strong analytical and critical thinking skills, with proficiency in data analysis tools and techniques Excellent communication skills, capable of translating complex data into clear, actionable insights for non-technical stakeholders Detail-oriented with strong organizational skills, able to manage multiple projects and meet deadlines Keen interest in staying updated with the latest trends in data analytics and e-commerce

As an integral part of the MC Analytics team, your role in Real-World Evidence (RWE) generation will be crucial in bridging the gap between clinical effectiveness and the commercial success of pharmaceutical brands. Collaboration between clinical and commercial disciplines is key at MC Analytics, where valuable insights are shared to guide decision-making. The importance of considering commercialization early in the drug development process is emphasized, and we are dedicated to partnering with you to create fully integrated RWE solutions tailored for the peri-approval phase, ensuring the collection of essential data for a successful product launch. By focusing on Real-World Evidence generation to meet the needs of key stakeholders, you will provide: - The necessary data to support regulatory approval and licensing processes. - The evidence required by physicians to confidently prescribe the drug. Your proficiency in coding will play a significant role in this role, including: - Advanced/Expertise in R programming with a focus on dplyr and tidyverse packages. - Skilled in managing complex datasets, handling missing values, and performing data pre-processing tasks efficiently. - Experience with version control systems such as GitHub and GitLab. - Advanced SQL skills to write optimized and scalable queries. - Ability to write modular and reusable code, emphasizing best practices and functions. The desired qualifications and skills for this role include: - A degree in Statistics/Data Science (B.Sc/M.Sc) with 1-2 years of experience in Real-world data or Oncology. - Proficiency in implementing statistical methods for descriptive statistics, Kaplan-Meier curves, visualization plots, etc. - Demonstrated ownership of deliverables, ensuring timely and high-quality outcomes. - Capability to work independently while proactively seeking guidance when needed. - Willingness to follow directions, accept oversight, and collaborate effectively in a team setting. - Adaptability to thrive in a cross-functional and highly collaborative work environment. Join us at MC Analytics and be a part of a dynamic team dedicated to delivering impactful Real-World Evidence solutions. Visit our website at https://mcanalytics.co.in/ to learn more about our work and culture.,

This job is with Invesco, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. As one of the world's leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day! Job Description Who we are With over $1.8 trillion of assets under management, Invesco is one of the world's leading global investment management firms, headquartered in Atlanta, GA. Spreading across 26 countries and with over 8600 dedicated employees, we are driven by trust and care. As one of the world's leading asset managers, we are solely dedicated to delivering an investment experience that helps people get more out of life. If you're looking for challenging work, thoughtful colleagues, and a global employer with social values, explore your potential at Invesco. Your Team The Strategic Analytics team at Invesco Real Estate is recognized for providing forward-looking views on the markets. Our strategy process is integrated into the investment decision making process and supports all parts of the business. Our deep market knowledge is showcased in our chartbooks, which analyses demographic, economic and real estate market data, to produce market rental growth, yield and total return forecasts. Your Role To work with other members of the business on the characterization and analysis of global economies and the forecasting of real estate markets, and support presentations to internal and external clients. Support and collaborate with Invesco Real Estate's strategic analytics Team. Assist in developing Invesco Real Estate's forecasting systems, models, and House Views. Develop specialist knowledge on various economies, markets, and sectors, in agreement with regional heads. Gain knowledge of external data providers to maintain the quality and accuracy of the real estate database, and build a network of local market experts. Undertake special projects such as gathering information for new investment possibilities, creating market reports, investigating capital flows, transactions, and market pricing. Use statistical analysis methods to identify relationships related to real estate performance, including classification, time series analysis, regression, statistical inference, and validation methods. Utilize spatial GIS analysis techniques to support the evaluation of real estate markets and asset management decisions. The Experience You Bring Should have 3 to 5 years of work experience within a real estate environment or any Investment management industry, ideally within real estate fund management, is required. Expert knowledge of Python and related frameworks, with data manipulation experience. Expertise in data manipulation techniques to handle and process large datasets effectively and Advanced Excel skills for data analysis. Proficiency in Spatial GIS analysis and tools. Proficiency in web scraping techniques is a valuable asset for this role. Ability to prioritize and collaborate on multiple projects and work independently when required. Experience in market research is essential. A proven numerate background and strong computer skills (especially the Microsoft Office suite), knowledge of applied statistics and econometric modelling techniques would be a benefit. R / Python programming skill with machine learning, Familiarity with GIS systems, spatial analytics would a considerable advantage. Experience in Data Manipulation and ETL handling using Power query, Pandas, tidyverse and Alterx. Expertise in data manipulation techniques to handle and process large datasets effectively with Advanced Excel skills in using Pivot tables, charting, solver/What-IF Analysis for data and statistical analysis. Experience in Data analysis and visualization tools like Power BI/Tableau/R Shiny is an added advantage. Ability to review peer's work and provide feedback Identifying and implementing automation opportunities. Excellent communication skills. Fluency in written and verbal English Skills / Other Personal Attributes Required: Team player Good communication skills Open minded, flexible, and willing to listen for other people's opinions. Interpersonal skills necessary to effectively communicate over the phone with a variety of individuals at all technical levels are required. Academic Requirements Educated to degree level, or equivalent qualification, in Real Estate, Geography, Economics, Maths (or a similar numerate subject), Data science or job holder is able to demonstrate equivalent academic caliber MBA in Real Estate from a reputed University is preferred. Why Invesco In Invesco, we do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other's identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We support and inspire each other to ensure our significant growth, both personally and professionally. We trust in diverse, inclusive, and accommodative workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we support connection and community through our many employee-led Business Resource Groups (BRGs). What's in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our Benefit Policy Includes But Not Limited To: Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day Competitive Compensation Flexible, Hybrid Work 30 days' Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers: https://careers.invesco.com/india/ Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) No Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. Why Invesco In Invesco, we act with integrity and do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other's identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We nurture and encourage each other to ensure our meaningful growth, both personally and professionally. We believe in diverse, inclusive, and supportive workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we encourage connection and community through our many employee-led Business Resource Groups (BRGs). What's in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our Benefit Policy Includes But Not Limited To: Competitive Compensation Flexible, Hybrid Work 30 days' Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers : https://careers.invesco.com/india/

As one of the world’s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day! Job Description Who we are With over $1.8 trillion of assets under management, Invesco is one of the world’s leading global investment management firms, headquartered in Atlanta, GA. Spreading across 26 countries and with over 8600 dedicated employees, we are driven by trust and care. As one of the world’s leading asset managers, we are solely dedicated to delivering an investment experience that helps people get more out of life. If you're looking for challenging work, thoughtful colleagues, and a global employer with social values, explore your potential at Invesco. Your Team The Strategic Analytics team at Invesco Real Estate is recognized for providing forward-looking views on the markets. Our strategy process is integrated into the investment decision making process and supports all parts of the business. Our deep market knowledge is showcased in our chartbooks, which analyses demographic, economic and real estate market data, to produce market rental growth, yield and total return forecasts. Your Role To work with other members of the business on the characterization and analysis of global economies and the forecasting of real estate markets, and support presentations to internal and external clients. Support and collaborate with Invesco Real Estate’s strategic analytics Team. Assist in developing Invesco Real Estate’s forecasting systems, models, and House Views. Develop specialist knowledge on various economies, markets, and sectors, in agreement with regional heads. Gain knowledge of external data providers to maintain the quality and accuracy of the real estate database, and build a network of local market experts. Undertake special projects such as gathering information for new investment possibilities, creating market reports, investigating capital flows, transactions, and market pricing. Use statistical analysis methods to identify relationships related to real estate performance, including classification, time series analysis, regression, statistical inference, and validation methods. Utilize spatial GIS analysis techniques to support the evaluation of real estate markets and asset management decisions. The Experience You Bring Should have 3 to 5 years of work experience within a real estate environment or any Investment management industry, ideally within real estate fund management, is required. Expert knowledge of Python and related frameworks, with data manipulation experience. Expertise in data manipulation techniques to handle and process large datasets effectively and Advanced Excel skills for data analysis. Proficiency in Spatial GIS analysis and tools. Proficiency in web scraping techniques is a valuable asset for this role. Ability to prioritize and collaborate on multiple projects and work independently when required. Experience in market research is essential. A proven numerate background and strong computer skills (especially the Microsoft Office suite), knowledge of applied statistics and econometric modelling techniques would be a benefit. R / Python programming skill with machine learning, Familiarity with GIS systems, spatial analytics would a considerable advantage. Experience in Data Manipulation and ETL handling using Power query, Pandas, tidyverse and Alterx. Expertise in data manipulation techniques to handle and process large datasets effectively with Advanced Excel skills in using Pivot tables, charting, solver/What-IF Analysis for data and statistical analysis. Experience in Data analysis and visualization tools like Power BI/Tableau/R Shiny is an added advantage. Ability to review peer’s work and provide feedback Identifying and implementing automation opportunities. Excellent communication skills. Fluency in written and verbal English Skills / Other Personal Attributes Required: Team player Good communication skills Open minded, flexible, and willing to listen for other people’s opinions. Interpersonal skills necessary to effectively communicate over the phone with a variety of individuals at all technical levels are required. Academic Requirements Educated to degree level, or equivalent qualification, in Real Estate, Geography, Economics, Maths (or a similar numerate subject), Data science or job holder is able to demonstrate equivalent academic caliber MBA in Real Estate from a reputed University is preferred. Why Invesco In Invesco, we do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other’s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We support and inspire each other to ensure our significant growth, both personally and professionally. We trust in diverse, inclusive, and accommodative workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we support connection and community through our many employee-led Business Resource Groups (BRGs). What’s in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our benefit policy includes but not limited to: Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day Competitive Compensation Flexible, Hybrid Work 30 days’ Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers: https://careers.invesco.com/india/ Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) No Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. Why Invesco In Invesco, we act with integrity and do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other’s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We nurture and encourage each other to ensure our meaningful growth, both personally and professionally. We believe in diverse, inclusive, and supportive workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we encourage connection and community through our many employee-led Business Resource Groups (BRGs). What’s in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our benefit policy includes but not limited to: Competitive Compensation Flexible, Hybrid Work 30 days’ Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers : https://careers.invesco.com/india/

Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. Arista is a well-established and profitable company with over $7 billion in revenue. Arista’s award-winning platforms, ranging in Ethernet speeds up to 800G bits per second, redefine scalability, agility, and resilience. Arista is a founding member of the Ultra Ethernet consortium. We have shipped over 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Arista is committed to open standards, and its products are available worldwide directly and through partners. At Arista, we value the diversity of thought and perspectives each employee brings. We believe fostering an inclusive environment where individuals from various backgrounds and experiences feel welcome is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as the Great Place to Work Survey for Best Engineering Team and Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest quality and performance standards in everything we do. Job Description Who You’ll Work With Arista is excited to scale the WiFi Team in the Pune Development Center to take it’s Cognitive WiFi solution to the next level. Arista has ambitious plans to grow the Pune-based Development Center in the next couple of years and now is a great time to join the team when you can have a significant impact on the shape and direction as the office grows. What You’ll Do Work with the Cognitive WiFi team to research and develop techniques for anomaly detection, root cause analysis and auto remediation. Develop ML models and measure their effectiveness across all of Arista’s customers. Design, develop, and fine-tune Large Language Models (LLMs) for various applications such as natural language understanding, generation, summarization, and question-answering. Work on extracting and analyzing data from a wide variety of Wi-Fi networks. Develop proof of concepts and ship new features in Arista’s CloudVision Wi-Fi solution. Possibly share the findings with a larger community through talks and blog posts. Qualifications Bachelor’s degree in computer science or a related field. Minimum 5 years of experience in Data Science, Machine Learning and AI technologies. Knowledge of Python or R and SQL. Extensive experience with Large Language Models (LLMs), including architecture understanding, fine-tuning, prompt engineering, and deployment Knowledge of Pandas (Python) or Tidyverse (R) libraries. Experience in using Jupyter or RStudio/RMarkdown notebooks. Additional Information Arista stands out as an engineering-centric company. Our leadership, including founders and engineering managers, are all engineers who understand the principles of sound software engineering and the importance of doing things right. We hire globally into our diverse team. At Arista, engineers have complete ownership of their projects. Our management structure is flat and streamlined, and software engineering is led by those who understand it best. We prioritize the development and utilization of test automation tools. Every part of the company is accessible to our engineers, providing opportunities to work across various domains. Arista is headquartered in Santa Clara, California, with development offices in Australia, Canada, India, Ireland, and the US. We consider all our R&D centers equal in stature. Join us to shape the future of networking and be part of a culture that values invention, quality, respect, and fun.

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Sr. Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 3-4 years of experience in a similar role. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Skills: Proficiency in R (tidyverse, LME4/lmerTest, plotly/ggplot2), or Python, for data manipulation and modelling and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to handle & analyze marketing data and perform statistical tests. Experience with data visualization tools such as Tableau, PowerPoint, Excel. Strong storytelling skills and the ability to generate insights & recommendations. Responsibilities: Understand business requirements and suggest appropriate marketing measurement solutions (Media Mix Modelling, Multi-Touch Attribution, etc.) Conduct panel data analysis using fixed effects, random effects, and mixed effects models. Perform econometric modelling, including model evaluation, model selection, and results interpretation. Understand, execute, and evaluate the data science modelling flow. Understand marketing, its objectives, and effectiveness measures such as ROI/ROAS. Familiarity with marketing channels, performance metrics, and conversion funnel. Experience with media mix modelling, ad-stock effect, saturation effect, multi-touch attribution, rule-based attribution, and media mix optimization. Knowledge of Bayes’ theorem, Shapley value, Markov chain, response curve, marginal ROI, halo effect, and cannibalization. Experience handling marketing data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Sr. Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 3-4 years of experience in a similar role. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Skills: Proficiency in R (tidyverse, LME4/lmerTest, plotly/ggplot2), or Python, for data manipulation and modelling and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to handle & analyze marketing data and perform statistical tests. Experience with data visualization tools such as Tableau, PowerPoint, Excel. Strong storytelling skills and the ability to generate insights & recommendations. Responsibilities: Understand business requirements and suggest appropriate marketing measurement solutions (Media Mix Modelling, Multi-Touch Attribution, etc.) Conduct panel data analysis using fixed effects, random effects, and mixed effects models. Perform econometric modelling, including model evaluation, model selection, and results interpretation. Understand, execute, and evaluate the data science modelling flow. Understand marketing, its objectives, and effectiveness measures such as ROI/ROAS. Familiarity with marketing channels, performance metrics, and conversion funnel. Experience with media mix modelling, ad-stock effect, saturation effect, multi-touch attribution, rule-based attribution, and media mix optimization. Knowledge of Bayes’ theorem, Shapley value, Markov chain, response curve, marginal ROI, halo effect, and cannibalization. Experience handling marketing data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Sr. Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 3-4 years of experience in a similar role. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Skills: Proficiency in R (tidyverse, LME4/lmerTest, plotly/ggplot2), or Python, for data manipulation and modelling and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to handle & analyze marketing data and perform statistical tests. Experience with data visualization tools such as Tableau, PowerPoint, Excel. Strong storytelling skills and the ability to generate insights & recommendations. Responsibilities: Understand business requirements and suggest appropriate marketing measurement solutions (Media Mix Modelling, Multi-Touch Attribution, etc.) Conduct panel data analysis using fixed effects, random effects, and mixed effects models. Perform econometric modelling, including model evaluation, model selection, and results interpretation. Understand, execute, and evaluate the data science modelling flow. Understand marketing, its objectives, and effectiveness measures such as ROI/ROAS. Familiarity with marketing channels, performance metrics, and conversion funnel. Experience with media mix modelling, ad-stock effect, saturation effect, multi-touch attribution, rule-based attribution, and media mix optimization. Knowledge of Bayes’ theorem, Shapley value, Markov chain, response curve, marginal ROI, halo effect, and cannibalization. Experience handling marketing data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Job Description: Overview: An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high-impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues. Performs very complex data science work, creates new ways of analyzing data, builds very complex business models, and makes recommendations that impact an entire business unit or very large complex sector. Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following: Data Extraction and Preparation: Collect data from various structured and unstructured sources (datalakes, databases, data warehouses, on cloud, internal, external) and ensure its quality for analysis through cleaning and preprocessing. Designs, builds, and analyzes large (e.g. 100’s of Terabytes or higher as technology advances) and complex data sets while thinking strategically about data use and data design. Tools can include snowflake and databricks. Coding Solutions, Algorithms and Feature Engineering: Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring/diagnosis/resolutions. Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools). Model Development, Deployment and Optimization: Build, evaluate, and optimize machine learning models through hyperparameter tuning. Implement models into production, continuously monitor their performance, and ensure they remain explainable and reliable to minimize model decay. Ability to develop custom Machine Learning (ML). Highly proficient in the full AI workflow such as (1) data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining and (2) Uses concepts like mlflow to log metrics. Well-versed in Interactive Development Environments (IDEs) such as Databricks Workspaces or Visual Studio Code. Proficiency in algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI- Knowledge Graphs. Visualization and Collaboration: Create visualizations and reports for stakeholders while working closely with cross-functional teams to align efforts with business objectives. Can utilize advanced coding methods to produce visualizations (e.g. ggplot, D3.js, etc.). Generative AI: Develop and implement generative AI models, focusing on creating new content or augmenting existing data. Generative Models-Understanding of GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. Fine-Tuning-Techniques for adapting pre-trained models to specific tasks using smaller, task-specific datasets. Agentics-Understanding of agentic architecture, concepts and optimization of solutions. Prompt Engineering-Crafting effective prompts to guide generative models in producing desired outputs. Retrieval-Augmented Generation (RAG)-Combining generative models with retrieval systems to enhance performance and relevance. Text Generation-Proficiency in using models like GPT-3/4 for generating human-like text. Image Generation-Familiarity with tools like DALL-E and Stable Diffusion for creating images from text descriptions. Key Skills: Python, R, Scala, Generative AL, Credit, Modele development, Fraud, tiral analysis, Machine Learning (ML), Snowflake, databricks, Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, AutoML Weekly Hours: 40 Time Type: Regular Location: Bangalore, Karnataka, India It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, 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, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Job Summary Auriga IT is seeking a proactive, problem-solving Data Analyst with 3–5 years of experience owning end-to-end data pipelines. You’ll partner with stakeholders across engineering, product, marketing, and finance to turn raw data into actionable insights that drive business decisions. You must be fluent in the core libraries, tools, and cloud services listed below. Your Responsibilities Pipeline Management Design, build, and maintain ETL/ELT workflows using orchestration frameworks (e.g., Airflow, dbt). Exploratory Data Analysis & Visualization Perform EDA and statistical analysis using Python or R. Prototype and deliver interactive charts and dashboards. BI & Reporting Develop dashboards and scheduled reports to surface KPIs and trends. Configure real-time alerts for data anomalies or thresholds. Insights Delivery & Storytelling Translate complex analyses (A/B tests, forecasting, cohort analysis) into clear recommendations. Present findings to both technical and non-technical audiences. Collaboration & Governance Work cross-functionally to define data requirements, ensure quality, and maintain governance. Mentor junior team members on best practices in code, version control, and documentation. Key Skills You must know at least one technology from each category below: Data Manipulation & Analysis Python: pandas, NumPy R: tidyverse (dplyr, tidyr) Visualization & Dashboarding Python: matplotlib, seaborn, Plotly R: ggplot2, Shiny BI Platforms Commercial or Open-Source (e.g., Tableau, Power BI, Apache Superset, Grafana) ETL/ELT Orchestration Apache Airflow, dbt, or equivalent Cloud Data Services AWS (Redshift, Athena, QuickSight) GCP (BigQuery, Data Studio) Azure (Synapse, Data Explorer) Databases & Querying RDBMS Strong SQL Skill (PostgreSQL, MySQL, Snowflake) Decent Knowledge of NoSQL databases Additionally Bachelor’s or Master’s in a quantitative field (Statistics, CS, Economics, etc.). 3–5 years in a data analyst (or similar) role with end-to-end pipeline ownership. Strong problem-solving mindset and excellent communication skills. Certification of power BI, Tableau is a plus Desired Skills & Attributes Familiarity with version control (Git) and CI/CD for analytics code. Exposure to basic machine-learning workflows (scikit-learn, caret). Comfortable working in Agile/Scrum environments and collaborating across domains. About Company Hi there! We are Auriga IT. We power businesses across the globe through digital experiences, data and insights. From the apps we design to the platforms we engineer, we're driven by an ambition to create world-class digital solutions and make an impact. Our team has been part of building the solutions for the likes of Zomato, Yes Bank, Tata Motors, Amazon, Snapdeal, Ola, Practo, Vodafone, Meesho, Volkswagen, Droom and many more. We are a group of people who just could not leave our college-life behind and the inception of Auriga was solely based on a desire to keep working together with friends and enjoying the extended college life. Who Has not Dreamt of Working with Friends for a Lifetime Come Join In Our Website - https://aurigait.com/

Job Summary Auriga IT is seeking a proactive, problem-solving Data Analyst with 3–5 years of experience owning end-to-end data pipelines. You’ll partner with stakeholders across engineering, product, marketing, and finance to turn raw data into actionable insights that drive business decisions. You must be fluent in the core libraries, tools, and cloud services listed below. Your Responsibilities: Pipeline Management Design, build, and maintain ETL/ELT workflows using orchestration frameworks (e.g., Airflow, dbt). Exploratory Data Analysis & Visualization Perform EDA and statistical analysis using Python or R . Prototype and deliver interactive charts and dashboards. BI & Reporting Develop dashboards and scheduled reports to surface KPIs and trends. Configure real-time alerts for data anomalies or thresholds. Insights Delivery & Storytelling Translate complex analyses (A/B tests, forecasting, cohort analysis) into clear recommendations. Present findings to both technical and non-technical audiences. Collaboration & Governance Work cross-functionally to define data requirements, ensure quality, and maintain governance. Mentor junior team members on best practices in code, version control, and documentation. Key Skills: You must know at least one technology from each category below: Data Manipulation & Analysis Python: pandas, NumPy R: tidyverse (dplyr, tidyr) Visualization & Dashboarding Python: matplotlib, seaborn, Plotly R: ggplot2, Shiny BI Platforms Commercial or Open-Source (e.g., Tableau, Power BI, Apache Superset, Grafana) ETL/ELT Orchestration Apache Airflow, dbt, or equivalent Cloud Data Services AWS (Redshift, Athena, QuickSight) GCP (BigQuery, Data Studio) Azure (Synapse, Data Explorer) Databases & Querying RDBMS Strong SQL Skill (PostgreSQL, MySQL, Snowflake) Decent Knowledge of NoSQL databases Additionally : Bachelor’s or Master’s in a quantitative field (Statistics, CS, Economics, etc.). 3–5 years in a data analyst (or similar) role with end-to-end pipeline ownership. Strong problem-solving mindset and excellent communication skills. Certification of power BI, Tableau is a plus Desired Skills & Attributes Familiarity with version control (Git) and CI/CD for analytics code. Exposure to basic machine-learning workflows (scikit-learn, caret). Comfortable working in Agile/Scrum environments and collaborating across domains. About Company Hi there! We are Auriga IT. We power businesses across the globe through digital experiences, data and insights. From the apps we design to the platforms we engineer, we're driven by an ambition to create world-class digital solutions and make an impact. Our team has been part of building the solutions for the likes of Zomato, Yes Bank, Tata Motors, Amazon, Snapdeal, Ola, Practo, Vodafone, Meesho, Volkswagen, Droom and many more. We are a group of people who just could not leave our college-life behind and the inception of Auriga was solely based on a desire to keep working together with friends and enjoying the extended college life. Who Has not Dreamt of Working with Friends for a Lifetime Come Join In https://www.aurigait.com/ -https://aurigait.com/https://aurigait.com

Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable.

Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable.

Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable.

Job Role : Financial Analysts and Advisors For Workflow Annotation Specialist Project Type: Contract-based / Freelance / Part-time – 1 Month Job Overview: We are seeking domain experts to participate in a Workflow Annotation Project . The role involves documenting and annotating the step-by-step workflows of key tasks within the candidate’s area of expertise. The goal is to capture real-world processes in a structured format for AI training and process optimization purposes. Domain Expertise Required : Collect market and company data, build/maintain financial models, craft decks, track portfolios, run risk and scenario analyses, develop client recommendations, and manage CRM workflows. Tools & Technologies You May have Worked: Commercial Software ‑ Bloomberg Terminal, Refinitiv Eikon, FactSet, Excel, PowerPoint, Salesforce FSC, Redtail, Wealthbox, Orion Advisor Tech, Morningstar Office, BlackRock Aladdin, Riskalyze, Tolerisk, eMoney Advisor, MoneyGuidePro, Tableau, Power BI. Open / Free Software ‑ LibreOffice Calc, Google Sheets, Python (Pandas, yfinance, NumPy, SciPy, Matplotlib), R (QuantLib, tidyverse), SuiteCRM, EspoCRM, Plotly Dash, Streamlit, Portfolio Performance, Ghostfolio, Yahoo Finance API, Alpha Vantage, IEX Cloud (free tier). Show more Show less

Advance R programming skills (relevant experience over last 12-24 months) especially with packages like tidyverse, dplyr, data.table, dtplyr, Rcpp and shiny.

We are seeking a Clinical Programmer with expertise in JReview listings, dashboards, and visualizations to support clinical data review, safety monitoring, data validation and clinical data visualization, analysis, and reporting for clinical trials. Required Candidate profile 4+ Years of experience. MS SQL Server and R, R packages e.g., Tidyverse, ggplot2, dplyr, Pipeline creation, or Oracle, SAS, Python, Elluminate, BOXI, Spotfire, Tableau, Macros, RShiny, JReview, Plotly

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – AI and DATA – Statistical Modeler-Senior At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As part of our EY- GDS AI and Data team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. Technical Skills: Statistical Programming Languages: Python, R Libraries & Frameworks: Pandas, NumPy, Scikit-learn, StatsModels, Tidyverse, caret Data Manipulation Tools: SQL, Excel Data Visualization Tools: Matplotlib, Seaborn, ggplot2, Machine Learning Techniques: Supervised and unsupervised learning, model evaluation (cross-validation, ROC curves) 5-7 years of experience in building statistical forecast models for pharma industry Deep understanding of patient flows,treatment journey across both Onc and Non Onc Tas. What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less