Synergistic it

Compensation

Full Description

Our U.S. tech partners seek Entry-Level Data Analysts to derive actionable insights and support strategic decisions using tools like Tableau, SAS, and Power BI within dynamic business environments. The expectation is practical, hands-on industry or commercial experience delivered in U.S. settings. Work experience must include collaborative, supervised analysis—not just academic labs or international projects . Candidates will play a key role in data cleaning, report building, exploration, and ad-hoc analysis tasks for stakeholders across finance, healthcare, retail, and technology sectors. Responsibilities • Extract, manipulate, and visualize data using SQL, Power BI, and Tableau. • Deliver structured business reports and data dashboards in team settings. • Automate report generation and build reusable analytics scripts using Python or SAS. • Support data validation and data quality initiatives. • Communicate findings to cross-functional teams and external stakeholders. U.S. employers require real-world, U.S.-based project experience , which cannot be substituted by internships abroad or non-supervised, independent projects. Required Skills • Experience in a U.S.-based analytics or consulting environment. • Proficiency with SQL, Tableau, Power BI, and SAS. • Understanding of ETL workflows and basic data engineering concepts. • Knowledge of Snowflake, Databricks, or Azure Data Lake preferred. Preferred Qualifications • Degree in Statistics, Economics, Computer Science, or a related field. • Certification in Tableau, Power BI, or SAS. • Exposure to cloud analytics platforms (AWS Glue, Azure). Limited Experience? Launch with SynergisticIT SynergisticIT’s [Link available when viewing the job] is purpose-built to bridge the gap for aspiring analysts lacking U.S.-based project work. Program highlights: • Project-Based Upskilling: Hands-on analytics projects with documentation and collaborative reviews. • Certification Upskilling: Accelerate your learning with certifications in Tableau, SAS, and Power BI. • In-Demand Tool Mastery: Learn Databricks, Snowflake, Azure Data Lake, and popular cloud data tools. • Client Network Access: Interview opportunities at leading U.S. tech, finance, and retail firms. • Interview Questions & Events: Check [Link available when viewing the job] and [Link available when viewing the job] . Read about [Link available when viewing the job] in USA Today and visit our [Link available when viewing the job] for real-world analytics stories. [Link available when viewing the job] [Link available when viewing the job] Who Is Eligible? Candidates authorized to work in the U.S. without need for employer sponsorship— Green Card, Citizen, H4 EAD, L2, OPT, CPT —are welcome. SynergisticIT Placement Outcomes Graduates typically secure offers between $95K and $150K at clients such as Amazon, LinkedIn, Capital One, CVS Health, Cognizant, JPMC, Bank of America, T-Mobile, Ford, Chevron, Adobe, Salesforce, Nvidia, UnitedHealth Group, and more. Over 10,000+ analysts have launched their careers with our help since 2010. • Ensure data accuracy and data integrity • Acquire data from primary or secondary data sources and maintain databases/data systems • Extracting data from the database • Perform data modeling based on multiple data sources • Ensure data accuracy and troubleshoot data to improve performance of data applications • Perform data analysis and monitoring to ensure data quality • Develop data templates/software tools for data submission • Perform data analysis and ad hoc reporting using SQL • Track data quality and data flow dynamics • Conduct details analysis of data • Understanding of data requirements to ensure data source • Develop reports to access data directly in the database or in the data warehouse • Analyzing data from various systems • Provide statistical analysis of data • Ensure data accuracy within system • Analyze business data from various sources • Develop data flows and interpret data models • Monitor data quality scorecards and data integrity efforts to works with data owners/stewards to resolve data quality issues • Perform data conversion validations using reports • Acquiring data from primary or secondary data sources and maintaining databases