Job Description

About TredenceTredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to set ourselves apart from our competitors by attracting the greatest talent in the data analytics and data science space. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in building Scalable Big Data Solutions on Onprem/GCP/Azure cloud in a very cost effective and easily scalable manner for our clients. We also come in with some strong IP and pre-built analytics solutions in data mining, BI and Big Data.Job SummaryLocation: India Tredence is a global analytics services and solutions company. Our capabilities range from Advanced analytics and Data Management to Data Visualization, Big Data, and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost-effectively using a global execution model leveraging our clients\' existing technology and data assets. We also come in with some strong IP and pre-built analytics solutions in data mining, BI, and Big Data.As a Manager/Senior Manager, you will:1. Work with clients leading marketing & customer roles at Fortune 100 Retailers2. Work closely with stakeholders across the organization to gather requirements and understand the underlying business problems. Serve as the bridge between business needs and analytical solutions.3. Collaboratively work with leadership and SMEs to create innovative solutions for business challenges. Utilize your understanding of retail data and analytics to drive decisionmaking.4. Leverage your expertise in Data such as Orders, Merchandising, Customer Data, Click Stream (Digital), Marketing, and Promotions Data, to provide effective solutions.5. Utilize advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle.6. Be part of the Lead CXM engagements and strengthen the delivery by developing scalable & reusable assets, training analysts, and building a foundation.7. Assist in Opportunity identification / POV creation / Proposal for clients.8. Apply Agile methods to manage analytics projects efficiently, ensuring they deliver value quickly.9. Lead and mentor a team of data analysts and data engineers, fostering innovation and excellence.Must-Have Skills:1. 10-14 years of professional experience in Analytics, showcasing demonstrated expertise in retail, marketing, and customer analytics projects2. Demonstrated capability in machine learning domains such as regression, classification, unsupervised learning3. Experience in marketing analytics, evaluating campaign effectiveness, test and learn, AB testing, market mix modeling, and multi-touch attribution4. Experience in Building customer segments, Propensity Models, CLTV Models, Recommender system etc.5. Experience working in Data Products and experience in developing Retail Data Models, Customer Data Models, Promotions Data Models, etc.6. Advanced programming skills in SQL, Python, and PySpark, capable of leading and guiding teams.7. Experience working with platforms such as GCP, Azure, AWS, Databricks, Snowflake, etc.8. Knowledge of data visualization tools like Tableau and PowerBI to craft insightful visual reports and dashboards.9. Exceptional problem-solving, organizational, and project management capabilities to navigate complex projects effectively. 5+ years of team management10. Leadership experience with a proven track record of mentoring and developing highperforming teams.11. Effective communication skills, adept at presenting complex insights to stakeholders in a clear and impactful mannerJob LocationBangalore/Gurgaon/Pune/ChennaiRoles & ResponsibilitiesMust-Have Skills:1. 10-14 years of professional experience in Analytics, showcasing demonstrated expertise in retail, marketing, and customer analytics projects2. Demonstrated capability in machine learning domains such as regression, classification, unsupervised learning3. Experience in marketing analytics, evaluating campaign effectiveness, test and learn, AB testing, market mix modeling, and multi-touch attribution4. Experience in Building customer segments, Propensity Models, CLTV Models, Recommender system etc.5. Experience working in Data Products and experience in developing Retail Data Models, Customer Data Models, Promotions Data Models, etc.6. Advanced programming skills in SQL, Python, and PySpark, capable of leading and guiding teams.7. Experience working with platforms such as GCP, Azure, AWS, Databricks, Snowflake, etc.8. Knowledge of data visualization tools like Tableau and PowerBI to craft insightful visual reports and dashboards.9. Exceptional problem-solving, organizational, and project management capabilities to navigate complex projects effectively. 5+ years of team management10. Leadership experience with a proven track record of mentoring and developing highperforming teams.11. Effective communication skills, adept at presenting complex insights to stakeholders in a clear and impactful mannerQualification & Experience1. Work with clients leading marketing & customer roles at Fortune 100 Retailers2. Work closely with stakeholders across the organization to gather requirements and understand the underlying business problems. Serve as the bridge between business needs and analytical solutions.3. Collaboratively work with leadership and SMEs to create innovative solutions for business challenges. Utilize your understanding of retail data and analytics to drive decisionmaking.4. Leverage your expertise in Data such as Orders, Merchandising, Customer Data, Click Stream (Digital), Marketing, and Promotions Data, to provide effective solutions.5. Utilize advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle.6. Be part of the Lead CXM engagements and strengthen the delivery by developing scalable & reusable assets, training analysts, and building a foundation.7. Assist in Opportunity identification / POV creation / Proposal for clients.8. Apply Agile methods to manage analytics projects efficiently, ensuring they deliver value quickly.9. Lead and mentor a team of data analysts and data engineers, fostering innovation and excellence.Why Join Tredence?There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest and fun-loving people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. Our people are our greatest asset and we value every one of them. Come see why we\'re so successful in one of the most competitive and fastest growing industries in the world.

Tredence