Company Description Decision Point Analytics develops analytics and big data solutions for CPG, Retail, and Consumer-focused industries, working with global fortune 500 clients. The company provides analytical insights and solutions to develop sales and marketing strategies in the Retail and CPG Industry by leveraging diverse sources of data. Role Description This is a full-time Lead Tableau Developer role at Decision Point Analytics. The role involves developing data models, creating dashboards, utilizing analytical skills, working with data warehousing, and ETL processes. This role is an on-site position located in Gurugram. Qualifications Data Modeling and Dashboard creation skills Minimum of 6+ Years of experience in Tableau, Power BI is required. Strong Analytical Skills Experience in Data Warehousing and ETL processes Proficiency in Tableau and other relevant BI tools Bachelor's or Master's degree in Computer Science, Data Analytics, or related field Experience in CPG or Retail industries is a plus Show more Show less

What would a typical day at your work be like? You will lead and manage the delivery of projects and be responsible for the delivery of project and team goals. Build & support data ingestion and processing pipelines. This will entail extract, load and transform of data from a wide variety of sources using latest data frameworks and technologies. Design, build, test, and maintain machine learning infrastructure and frameworks to empower data scientists to rapidly iterate on model development. Own and lead client engagement and communication on technical projects. Define project scopes and track project progress and delivery. Plan and execute project architecture and allocate work to team. Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume. Partner with software engineering teams to drive completion of multi-functional projects. What Do We Expect? Minimum 6 years of overall experience in data engineering and 2+ years leading a team as team lead and doing project management. Experience working with a global team and remote clients. Hands on experience in building data pipelines on various infrastructures. Knowledge of statistical and machine learning techniques. Hands on experience in integrating machine learning in data pipelines. Ability to work hands-on with the data engineers in the team in design and development of the solution using the relevant big data technologies and data warehouse concepts Strong knowledge of advanced SQL, data warehousing concepts, DataMart designing. Have strong experience in modern data platform components such as Spark, Python, etc. Experience with setting up and maintaining Data warehouse (Google BigQuery, Redshift, Snowflake) and Data Lakes (GCS, AWS S3 etc.) for an organization. Experience in building data pipeline with AWS Glue, Azure Data Factory and Google Dataflow. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra / MongoDB. Strong problem solving and communication skills Show more Show less

Company Description Decision Point Analytics develops analytics and big data solutions for CPG, Retail, and Consumer-focused industries, working with global fortune 500 clients. The company provides analytical insights and solutions to develop sales and marketing strategies in the Retail & CPG Industry by leveraging diverse sources of data. Decision Point was founded by Ravi Shankar and his classmates from IIT Madras, with expertise in CPG and Marketing Analytics domain. Role Description This is a full-time on-site role for a Sr. UI/UX Designer (Immediate Joiner) located in Gurugram. The Sr. UI/UX Designer will be responsible for creating mockups, visual design, prototyping, front-end development, and user experience design on a day-to-day basis. Qualifications Graphics, Graphic Design, Logo Design skills Branding and Typography skills Experience in creating visual identity and brand assets Proficiency in Adobe Creative Suite or other design tools Strong portfolio showcasing design work Ability to work collaboratively in a team environment Bachelor's degree in Graphic Design or related field Ability to collaborate effectively with cross-functional teams Experience in working with big data analytics solutions is a plus Bachelor's degree in Design, IT, or related field Show more Show less

Company Description Decision Point Analytics develops analytics & big data solutions for CPG, Retail & Consumer-focused industries, working with global fortune 500 clients. The company provides analytical insights & solutions to develop sales & marketing strategies in the Retail & CPG Industry by leveraging diverse sources of data. Decision Point was founded by Ravi Shankar and his classmates from IIT Madras with diverse experience across the CPG & Marketing Analytics domain. Role Description This is a full-time Senior Data Engineer role at Decision Point Analytics located in Chennai. The Senior Data Engineer will be responsible for data engineering, data modeling, ETL processes, data warehousing, and data analytics on-site. Qualifications Data Engineering and Data Modeling skills Experience in ETL (Extract Transform Load) processes Data Warehousing expertise Data Analytics proficiency Strong problem-solving and analytical skills Proficient in database technologies like SQL, NoSQL Experience with big data technologies like Hadoop, Spark Bachelor's or Master's degree in Computer Science, Information Technology, or related field Show more Show less

What would a typical day at your work be like? • You will lead and manage the delivery of projects and be responsible for the delivery of project and team goals. • Build & support data ingestion and processing pipelines. This will entail extract, load and transform of data from a wide variety of sources using latest data frameworks and technologies. • Design, build, test, and maintain machine learning infrastructure and frameworks to empower data scientists to rapidly iterate on model development. • Own and lead client engagement and communication on technical projects. Define project scopes and track project progress and delivery. • Plan and execute project architecture and allocate work to team. • Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume. • Partner with software engineering teams to drive completion of multi-functional projects. What Do We Expect? • Minimum 6 years of overall experience in data engineering and 2+ years leading a team as team lead and doing project management. • Experience working with a global team and remote clients. • Hands on experience in building data pipelines on various infrastructures. • Knowledge of statistical and machine learning techniques. Hands on experience in integrating machine learning in data pipelines. • Ability to work hands-on with the data engineers in the team in design and development of the solution using the relevant big data technologies and data warehouse concepts Strong knowledge of advanced SQL, data warehousing concepts, DataMart designing. • Have strong experience in modern data platform components such as Spark, Python, etc. • Experience with setting up and maintaining Data warehouse (Google BigQuery, Redshift, Snowflake) and Data Lakes (GCS, AWS S3 etc.) for an organization. • Experience in building data pipeline with AWS Glue, Azure Data Factory and Google Dataflow. • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra / MongoDB. • Strong problem solving and communication skills.

Company Description Decision Point develops analytics and big data solutions for CPG, Retail, and Consumer-focused industries, working with global Fortune 500 clients. We provide analytical insights and solutions that help develop sales and marketing strategies in the Retail and CPG Industry by leveraging diverse sources of data including Point of Sale data, syndicated category data, primary shipments, and other similar sources. Decision Point was founded by Ravi Shankar along with his classmates from IIT Madras, who have diverse experience across the CPG and Marketing Analytics domain. At Decision Point, you will meet data scientists, business consultants, and tech-savvy engineers passionate about extracting every ounce of value from data for our clients. Role Description This is a full-time on-site role for a Lead Data Engineer, located in Gurugram. The Lead Data Engineer will be responsible for designing, developing, and maintaining data pipelines, building data models, implementing ETL processes, and managing data warehousing solutions. The role also includes data analytics responsibilities to derive actionable insights for our clients. The candidate will engage with cross-functional teams to understand data requirements and deliver robust data solutions. Qualifications Skills in Data Engineering, Data Modeling Experience with Extract Transform Load (ETL) processes and tools Proficiency in Data Warehousing solutions Strong Data Analytics capabilities Excellent problem-solving and analytical skills Ability to work collaboratively in a team environment Bachelor's or Master's degree in Computer Science, Information Technology, or related field Experience in the Retail or CPG industry is a plus Proficient in programming languages such as Python, SQL, and tools like Hadoop, Spark, etc. is beneficial

You will be responsible for leading and managing the delivery of projects as well as achieving project and team goals. Your tasks will include building and supporting data ingestion and processing pipelines, designing and maintaining machine learning infrastructure, and leading client engagement on technical projects. You will define project scopes, track progress, and allocate work to the team. It will be essential to stay updated on big data technologies and conduct pilots to design scalable data architecture. Collaboration with software engineering teams to drive multi-functional projects to completion will also be a key aspect of your role. To excel in this position, we expect you to have a minimum of 6 years of experience in data engineering with at least 2 years in a leadership role. Experience working with global teams and remote clients is required. Hands-on experience in building data pipelines across various infrastructures, knowledge of statistical and machine learning techniques, and the ability to integrate machine learning into data pipelines are essential. Proficiency in advanced SQL, data warehousing concepts, and DataMart designing is necessary. Strong familiarity with modern data platform components like Spark and Python, as well as experience with Data Warehouses (e.g., Google BigQuery, Redshift, Snowflake) and Data Lakes (e.g., GCS, AWS S3) is expected. Experience in setting up and maintaining data pipelines with AWS Glue, Azure Data Factory, and Google Dataflow, along with relational SQL and NoSQL databases, is also required. Excellent problem-solving and communication skills are essential for this role.,

Company Description Decision Point develops analytics and big data solutions for CPG, Retail, and Consumer-focused industries, working with global Fortune 500 clients. We provide analytical insights and solutions that help develop sales and marketing strategies in the Retail and CPG Industry by leveraging diverse sources of data including Point of Sale data, syndicated category data, primary shipments, and other similar sources. Decision Point was founded by Ravi Shankar along with his classmates from IIT Madras, who have diverse experience across the CPG and Marketing Analytics domain. At Decision Point, you will meet data scientists, business consultants, and tech-savvy engineers passionate about extracting every ounce of value from data for our clients. Role Description This is a full-time on-site role for a Lead Data Engineer, located in Gurugram. The Lead Data Engineer will be responsible for designing, developing, and maintaining data pipelines, building data models, implementing ETL processes, and managing data warehousing solutions. The role also includes data analytics responsibilities to derive actionable insights for our clients. The candidate will engage with cross-functional teams to understand data requirements and deliver robust data solutions. Qualifications Key Responsibilities: Design and build scalable data pipelines using Databricks and Microsoft Fabric Develop and maintain robust ETL processes for efficient data movement Implement and optimize data models – Dimensional & Data Vault Work with data warehousing solutions to ensure clean, consumable data for analytics teams Collaborate with cross-functional teams to deliver end-to-end data flows (ingestion → transformation → consumption) Ensure data accuracy, performance tuning, and problem resolution Required Skills: Databricks (hands-on) Microsoft Fabric (strong working knowledge) SQL – advanced querying, stored procedures, and tuning PySpark / Python – for data transformation Basic knowledge of Azure Data Factory (ADF) Experience with data modeling and data warehousing Strong analytical and problem-solving abilities Ability to work in a fast-paced, collaborative environment