Role Overview: We are looking for an experienced Data Scientist specializing in Market Mix Modeling (MMM) to join our team. The candidate will be responsible for developing predictive models to measure marketing effectiveness, optimize budget allocation, and derive actionable insights from large datasets. This role requires expertise in statistical modeling, machine learning, and data visualization to support data-driven decision-making for our premium FMCG Client. Roles & Responsibilities: 1.Develop and implement Market Mix Models (MMM) to evaluate the impact of marketing activities on sales and brand performance. 2.Analyze large-scale marketing, sales, and consumer data from multiple sources to uncover trends and insights. 3.Apply statistical techniques (e.g., regression modeling, time-series analysis, Bayesian modeling) to measure ROI across marketing channels. 4.Work with cross-functional teams to optimize media spend and marketing investments. 5.Use Python, R, SQL, and SAS for data extraction, cleaning, and modeling. 6.Build automated reporting dashboards using Power BI, Tableau, or Excel to visualize model outputs. 7.Conduct scenario analysis and simulations to forecast business outcomes. 8.Communicate technical findings to non-technical stakeholders, ensuring data-driven decision-making. 9.Continuously improve models by incorporating machine learning algorithms and external factors (macroeconomic, seasonal, competitive). 10.Collaborate with business teams to translate insights into actionable marketing strategies. Desired Candidate Skills: Bachelors/Masters degree in Statistics, Data Science, Economics, Mathematics, or a related field. 4-7 years of hands-on experience in Market Mix Modeling (MMM), econometrics, or marketing analytics. Strong expertise in statistical analysis, regression modeling, and causal inference techniques. Proficiency in Python, R, SQL, SAS, and experience with ML libraries (Scikit-learn, TensorFlow, XGBoost). Hands-on experience with BI tools (Power BI, Tableau, Looker) for data visualization. Prior experience in FMCG, Retail, or Consumer Goods industry is highly preferred. Strong business acumen and ability to translate data into actionable insights. Excellent stakeholder management and communication skills. Join us in leveraging data-driven strategies to optimize marketing effectiveness and drive business growth.

We are hiring SAS Programmer / Analyst at Bengaluru with 2-3 years of Experience. Candidates who can join immediately or within 15-20 days and ready to work from our OFFICE at Bengaluru should apply. 1. Interpret data, analyze results using statistical techniques and provide ongoing reports 2. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality 3. Acquire data from primary or secondary data sources and maintain databases/data systems 4. Identify, analyze, and interpret trends or patterns in complex data sets 5. Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems 6. Work with management to prioritize business and information needs, Locate and define new process improvement opportunities. 7. Run recurring activities which are at various frequencies ( daily, weekly , monthly, quarterly). 8. Work on adhoc analysis (Adhoc requests of stakeholders)

Job Overview: We are seeking an experienced Senior Data Analyst with 3-6 years of experience in Risk Modeling and Insurance Analytics. The ideal candidate should have hands-on expertise in SAS, SAS Viya, and SQL, along with a strong background in Life Insurance products and risk modeling. This is a full-time, office-based role in Mumbai, requiring close collaboration with cross-functional teams to develop risk models, deliver scorecards, and drive data-driven decision-making. Key Responsibilities: 1. Apply expertise in the Indian Insurance market to develop risk models and predictive analytics solutions. 2. Utilize SAS, SAS Viya, and SQL for data modeling, analysis, and reporting. 3. Develop and implement risk modeling strategies with measurable business impact. 4. Leverage deep knowledge of Life Insurance products and processes to design analytics solutions. 5. Manage and deliver analytics projects within deadlines while ensuring accuracy and quality. 6. Work on large datasets to identify key risk factors, customer behavior trends, and business insights. 7. Develop and implement scorecards, propensity models, and predictive analytics frameworks. 8.Collaborate with stakeholders to align analytics initiatives with business objectives. Desired Candidate Profile: a. Bachelors degree in Computer Science, Statistics, Mathematics, or related fields. b. 3-6 years of proven experience in data analytics, particularly in BFSI/Insurance domains. c. Strong expertise in SAS & SQL (mandatory); Python is a plus. d. Hands-on experience in risk modeling, scorecards, and propensity models. e. Advanced proficiency in Microsoft Excel for data analysis and reporting. f. Excellent problem-solving skills and attention to detail. g. Strong communication and stakeholder management abilities. h. Experience in handling large datasets and delivering high-quality analytics solutions. Preferred Skills: a. Experience in financial risk modeling, credit risk, or fraud analytics. b. Exposure to AI/ML techniques for insurance analytics is a plus. c. Knowledge of data visualization tools like Power BI or Tableau is advantageous.

Job Overview: We are seeking an experienced Senior Data Analyst with 3-6 years of experience in Risk Modeling and Insurance Analytics. The ideal candidate should have hands-on expertise in SAS, SAS Viya, and SQL, along with a strong background in Life Insurance products and risk modeling. This is a full-time, office-based role in Mumbai, requiring close collaboration with cross-functional teams to develop risk models, deliver scorecards, and drive data-driven decision-making. Key Responsibilities: 1. Apply expertise in the Indian Insurance market to develop risk models and predictive analytics solutions. 2. Utilize SAS, SAS Viya, and SQL for data modeling, analysis, and reporting. 3. Develop and implement risk modeling strategies with measurable business impact. 4. Leverage deep knowledge of Life Insurance products and processes to design analytics solutions. 5. Manage and deliver analytics projects within deadlines while ensuring accuracy and quality. 6. Work on large datasets to identify key risk factors, customer behavior trends, and business insights. 7. Develop and implement scorecards, propensity models, and predictive analytics frameworks. 8.Collaborate with stakeholders to align analytics initiatives with business objectives. Desired Candidate Profile: a. Bachelors degree in Computer Science, Statistics, Mathematics, or related fields. b. 3-6 years of proven experience in data analytics, particularly in BFSI/Insurance domains. c. Strong expertise in SAS & SQL (mandatory); Python is a plus. d. Hands-on experience in risk modeling, scorecards, and propensity models. e. Advanced proficiency in Microsoft Excel for data analysis and reporting. f. Excellent problem-solving skills and attention to detail. g. Strong communication and stakeholder management abilities. h. Experience in handling large datasets and delivering high-quality analytics solutions. Preferred Skills: a. Experience in financial risk modeling, credit risk, or fraud analytics. b. Exposure to AI/ML techniques for insurance analytics is a plus. c. Knowledge of data visualization tools like Power BI or Tableau is advantageous.

Role Overview: We are seeking a skilled Data Analyst with 4-6 years of experience in data analytics, specializing in Python, SQL, Power BI, Tableau, and Advanced Excel. The selected candidate will be deployed at our Clients Div HQ A Leading FMCG company, supporting the Marketing team by analyzing large datasets, deriving consumer and market insights, and developing interactive dashboards to drive strategic decisions. Experience in FMCG/Retail/Consumer Goods, Marketing Analytics will be an added advantage. Roles & Responsibilities: 1. Extract, clean, and analyze data from SQL databases to generate actionable marketing insights. 2. Utilize Python for data manipulation, automation, and advanced analytics. 3. Design, develop, and optimize interactive dashboards using Power BI and Tableau to track marketing campaign performance, brand engagement, and consumer trends. 4. Apply Advanced Excel techniques for data processing, reporting, and automation. 5. Work closely with the marketing team to analyze consumer behavior, market trends, brand performance, and campaign effectiveness. 6. Identify trends and patterns in market research data, digital marketing analytics, consumer demographics, and competitive analysis. 7. Ensure data accuracy, quality, and consistency while handling large marketing datasets. 8. Present findings to stakeholders to support strategic marketing decisions. Desired Candidate Skills: 1. 4-6 years of experience in data analysis, preferably in FMCG/Retail Marketing Analytics. 2. Strong proficiency in SQL, Python, Power BI, Tableau, and Advanced Excel. 3. Experience working with marketing datasets such as consumer insights, campaign performance, and brand analytics. 4. Hands-on experience in creating interactive dashboards and data visualizations. 5. Strong analytical and problem-solving skills with attention to detail. 6. Ability to work independently and collaborate with marketing, sales, and brand teams. 7. Excellent communication and presentation skills. If you are passionate about marketing analytics and looking for an exciting opportunity to work, apply now!

We at VIAPROM are seeking a skilled and experienced Tableau Developer to join our team within 15-20 days in Bengaluru. Candidates who are based out of Bengaluru will be preferred. The ideal candidate should have a strong background in Visualization and data storytelling. Key Responsibilities: 1. Collaborate with business stakeholders to understand their data analysis and reporting requirements. 2. Design and develop interactive and visually appealing dashboards, reports, and data visualizations using Tableau Desktop. 3. Utilize Tableau's features, including calculated fields, parameters, data blending, and advanced analytics, to create insightful and actionable visualizations. 4. Transform complex data sets into intuitive visualizations that effectively communicate key insights and trends. 5. Work closely with data engineers to extract, transform, and load data from various sources into Tableau. 6. Optimize the performance and efficiency of Tableau dashboards and reports by implementing best practices and data optimization techniques. 7. Conduct data analysis to identify trends, patterns, and anomalies within the data. 8. Collaborate with cross-functional teams to integrate Tableau dashboards and visualizations into business applications or portals. 9. Stay up-to-date with the latest Tableau features, trends, and best practices to continually enhance data visualization capabilities. 10. Provide support and training to end-users on Tableau functionality and usage. Desired Candidate Skills: 1. Proven experience as a Tableau Developer with atleast 2 years of hands-on experience. 2. In-depth knowledge of Tableau Desktop and Tableau Server, including data preparation, visualization design, and dashboard development. 3. Strong understanding of data visualization best practices, data analysis, and data storytelling. 4. Proficiency in SQL and experience with data modeling and database design. 5. Ability to gather and translate business requirements into effective Tableau visualizations. 6. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Educational Qualifications 1. Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 2. Candidates with Tableau Desktop and/or Tableau Server certification is preferable. 3. Familiarity with statistical analysis and data mining techniques. 4. Understanding of data governance and data security best practices.

Role Overview: We are looking for an experienced Data Scientist specializing in Market Mix Modeling (MMM) to join our team. The candidate will be responsible for developing predictive models to measure marketing effectiveness, optimize budget allocation, and derive actionable insights from large datasets. This role requires expertise in statistical modeling, machine learning, and data visualization to support data-driven decision-making for our premium FMCG Client. Roles & Responsibilities: 1.Develop and implement Market Mix Models (MMM) to evaluate the impact of marketing activities on sales and brand performance. 2.Analyze large-scale marketing, sales, and consumer data from multiple sources to uncover trends and insights. 3.Apply statistical techniques (e.g., regression modeling, time-series analysis, Bayesian modeling) to measure ROI across marketing channels. 4.Work with cross-functional teams to optimize media spend and marketing investments. 5.Use Python, R, SQL, and SAS for data extraction, cleaning, and modeling. 6.Build automated reporting dashboards using Power BI, Tableau, or Excel to visualize model outputs. 7.Conduct scenario analysis and simulations to forecast business outcomes. 8.Communicate technical findings to non-technical stakeholders, ensuring data-driven decision-making. 9.Continuously improve models by incorporating machine learning algorithms and external factors (macroeconomic, seasonal, competitive). 10.Collaborate with business teams to translate insights into actionable marketing strategies. Desired Candidate Skills: Bachelors/Masters degree in Statistics, Data Science, Economics, Mathematics, or a related field. 4-7 years of hands-on experience in Market Mix Modeling (MMM), econometrics, or marketing analytics. Strong expertise in statistical analysis, regression modeling, and causal inference techniques. Proficiency in Python, R, SQL, SAS, and experience with ML libraries (Scikit-learn, TensorFlow, XGBoost). Hands-on experience with BI tools (Power BI, Tableau, Looker) for data visualization. Prior experience in FMCG, Retail, or Consumer Goods industry is highly preferred. Strong business acumen and ability to translate data into actionable insights. Excellent stakeholder management and communication skills. Join us in leveraging data-driven strategies to optimize marketing effectiveness and drive business growth.

We are hiring SAS Programmer / Analyst at Bengaluru with 2-3 years of Experience. Candidates who can join immediately or within 15-20 days and ready to work from our OFFICE at Bengaluru should apply. 1. Interpret data, analyze results using statistical techniques and provide ongoing reports 2. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality 3. Acquire data from primary or secondary data sources and maintain databases/data systems 4. Identify, analyze, and interpret trends or patterns in complex data sets 5. Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems 6. Work with management to prioritize business and information needs, Locate and define new process improvement opportunities. 7. Run recurring activities which are at various frequencies ( daily, weekly , monthly, quarterly). 8. Work on adhoc analysis (Adhoc requests of stakeholders)

Job Description: We at VIAPROM are seeking a skilled and experienced Tableau Developer to join our team within 15-20 days in Bengaluru. Candidates who are based out of Bengaluru will be preferred. The ideal candidate should have a strong background in Visualization and data storytelling. Key Responsibilities: 1. Collaborate with business stakeholders to understand their data analysis and reporting requirements. 2. Design and develop interactive and visually appealing dashboards, reports, and data visualizations using Tableau Desktop. 3. Utilize Tableau's features, including calculated fields, parameters, data blending, and advanced analytics, to create insightful and actionable visualizations. 4. Transform complex data sets into intuitive visualizations that effectively communicate key insights and trends. 5. Work closely with data engineers to extract, transform, and load data from various sources into Tableau. 6. Optimize the performance and efficiency of Tableau dashboards and reports by implementing best practices and data optimization techniques. 7. Conduct data analysis to identify trends, patterns, and anomalies within the data. 8. Collaborate with cross-functional teams to integrate Tableau dashboards and visualizations into business applications or portals. 9. Stay up-to-date with the latest Tableau features, trends, and best practices to continually enhance data visualization capabilities. 10. Provide support and training to end-users on Tableau functionality and usage. Desired Candidate Skills: 1. Proven experience as a Tableau Developer with atleast 4-5 years of hands-on experience. 2. In-depth knowledge of Tableau Desktop and Tableau Server, including data preparation, visualization design, and dashboard development. 3. Strong understanding of data visualization best practices, data analysis, and data storytelling. 4. Proficiency in SQL and experience with data modeling and database design. 5. Ability to gather and translate business requirements into effective Tableau visualizations. 6. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Educational Qualifications 1. Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 2. Candidates with Tableau Desktop and/or Tableau Server certification is preferable. 3. Familiarity with statistical analysis and data mining techniques. 4. Understanding of data governance and data security best practices.