Senior Data Migration Analyst

Job Description

About the Role: In this Opportunity as Senior Data Analyst, you will be responsible for Analyzing and extracting data from source systems (Salesforce or other) and migrating it to target systems (Salesforce or other). Managing data migration processes including extraction, transformation, and loading (ETL) to ensure seamless and accurate data transitions. Youll use tools like Alteryx to cleanse, transform, and load data. Ensuring data quality by applying data validation techniques, along with cleansing and transformation, to maintain high standards and ensure data integrity. Generating insightful reports that support business decisions, highlighting key findings, and addressing any data quality issues. Defining and reviewing data mappings and transformation rules to ensure smooth and accurate data flows. Collaborating with business stakeholders and technical teams to align data solutions with business objectives. Providing valuable data insights and creating data metric reports generation about Data Quality to support data architects in their decision-making and system design. Working in a fast-paced, cross-functional environment to deliver high-quality, actionable data solutions on time. Reporting to a Data Migration Lead and would work closely with Data analysts as well Data architects across technology. About You : You're a fit for the role of Senior Data Analyst if your background includes: A bachelors degree in computer science, IT, Data Science, or a related field. 6-8 years of experience in data analysis, including hands-on work with Salesforce, data migration, and ETL processes. Preferably deep understanding of Salesforce data structures and its functionality. Experience with ETL tools, especially Alteryx, and other data integration platforms. Experience with Snowflake for data warehousing, querying and optimization. Strong skills in data transformation, mapping analysis, and data validation techniques (e.g., range checks, consistency checks, uniqueness checks, and null value handling) to ensure data accuracy and quality. Expertise in data cleansing, data quality management, and validation techniques to maintain clean, accurate data. Excellent communication and collaboration skills, working effectively with business teams and technical experts. Proficiency in SQL, preferably data visualization tools (e.g., Tableau, Power BI), and Excel. Familiarity with migrating binary files and handling data transfers across systems is a plus. Previous experience working on sales and marketing data is a plus.