4 Predictive Analysis Jobs

We are looking for a skilled Data Analyst with excellent communication skills and deep expertise in SQL, Tableau, and modern data warehousing technologies. This role involves designing data models, building insightful dashboards, ensuring data quality, and extracting meaningful insights from large datasets to support strategic business decisions. Key Responsibilities: Write advanced SQL queries to retrieve and manipulate data from cloud data warehouses such as Snowflake, Redshift, or BigQuery. Design and develop data models that support analytics and reporting needs. Build dynamic, interactive dashboards and reports using tools like Tableau, Looker, or Domo. Perform advanced analytics techniques including cohort analysis, time series analysis, scenario analysis, and predictive analytics. Validate data accuracy and perform thorough data QA to ensure high-quality output. Investigate and troubleshoot data issues; perform root cause analysis in collaboration with BI or data engineering teams. Communicate analytical insights clearly and effectively to stakeholders. Required Skills & Qualifications: Excellent communication skills are mandatory for this role. 5+ years of experience in data analytics, BI analytics, or BI engineering roles. Expert-level skills in SQL, with experience writing complex queries and building views. Proven experience using data visualization tools like Tableau, Looker, or Domo. Strong understanding of data modeling principles and best practices. Hands-on experience working with cloud data warehouses such as Snowflake, Redshift, BigQuery, SQL Server, or Oracle. Intermediate-level proficiency with spreadsheet tools like Excel, Google Sheets, or Power BI, including functions, pivots, and lookups. Bachelor's or advanced degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Information Systems. Ability to collaborate with cross-functional teams, including BI engineers, to optimize reporting solutions. Experience in handling large-scale enterprise data environments. Familiarity with data governance, data cataloging, and metadata management tools (a plus but not required).

We are looking for a skilled Data Analyst with excellent communication skills and deep expertise in SQL, Tableau, and modern data warehousing technologies. This role involves designing data models, building insightful dashboards, ensuring data quality, and extracting meaningful insights from large datasets to support strategic business decisions. Key Responsibilities: Write advanced SQL queries to retrieve and manipulate data from cloud data warehouses such as Snowflake, Redshift, or BigQuery. Design and develop data models that support analytics and reporting needs. Build dynamic, interactive dashboards and reports using tools like Tableau, Looker, or Domo. Perform advanced analytics techniques including cohort analysis, time series analysis, scenario analysis, and predictive analytics. Validate data accuracy and perform thorough data QA to ensure high-quality output. Investigate and troubleshoot data issues; perform root cause analysis in collaboration with BI or data engineering teams. Communicate analytical insights clearly and effectively to stakeholders. Required Skills & Qualifications: Excellent communication skills are mandatory for this role. 5+ years of experience in data analytics, BI analytics, or BI engineering roles. Expert-level skills in SQL, with experience writing complex queries and building views. Proven experience using data visualization tools like Tableau, Looker, or Domo. Strong understanding of data modeling principles and best practices. Hands-on experience working with cloud data warehouses such as Snowflake, Redshift, BigQuery, SQL Server, or Oracle. Intermediate-level proficiency with spreadsheet tools like Excel, Google Sheets, or Power BI, including functions, pivots, and lookups. Bachelor's or advanced degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Information Systems. Ability to collaborate with cross-functional teams, including BI engineers, to optimize reporting solutions. Experience in handling large-scale enterprise data environments. Familiarity with data governance, data cataloging, and metadata management tools (a plus but not required). Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Key Skills: Marketing Analytics, Analytics, SQL, Python, Business Analysis, Predictive Analysis, Statistical Analysis. Roles and Responsibilities: Gathers operational data from various cross-functional stakeholders to examine past business performance. Identifies data patterns and trends, and provides insights to enhance business decision-making capability in business planning, process improvement, solution assessment, etc. Recommends actions for future developments and strategic business opportunities, as well as enhancements to operational policies. May be involved in exploratory data analysis, confirmatory data analysis, and/or qualitative analysis. Translates data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicates clearly and effectively to business partners and senior leaders all findings. Continuously improves processes and strategies by exploring and evaluating new data sources, tools, and capabilities. Works closely with internal and external business partners in building, implementing, tracking, and improving decision strategies. Appropriately assesses risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing, and reporting control issues with transparency. Experience Requirement: 3-8 years of relevant experience in business analytics, data analysis, or business intelligence roles. Proven experience in using analytical tools such as SQL, Excel, Python, or R to extract and analyze data. Hands-on experience with data visualization tools such as Tableau, Power BI, or similar platforms. Experience working in cross-functional teams and supporting decision-making through data-driven insights. Strong track record of identifying business trends and providing actionable recommendations based on data analysis. Demonstrated ability to handle multiple projects simultaneously with a strong attention to detail. Education: B.Tech M.Tech (Dual), MCA, B.Tech.

Position - Project / Sr. Project Engineer - Data Analyst ( Process control, design and audit experience with Power BI skills) We are seeking an analytical and detail-oriented Project / Sr. Project Engineer - Data Analyst with 3 to 5 years of professional experience. This role requires a strong background in process design & control, focusing on optimizing operational workflows and ensuring data integrity. The ideal candidate will possess a deep understanding of Data management, data assurance, or data science, coupled with experience in data verification, audits, and process control & design. Your primary responsibilities will include analyzing complex business processes, identifying areas for improvement, and designing data-driven solutions to enhance efficiency and accuracy. You will be responsible for developing and implementing data governance strategies, ensuring the reliability and quality of data. Proficiency in Power BI is essential, as you will be creating interactive dashboards, reports, and compelling data visualizations to present insights to stakeholders. Experience with predictive analysis will be a significant advantage, enabling you to forecast trends and support proactive decision-making. Furthermore, you will champion innovative data visualization techniques to communicate complex information clearly and effectively. This role requires a strong analytical mindset, excellent problem-solving skills, and the ability to collaborate across various departments to drive process improvements and data-driven strategies.