Data Analyst
Location
United States
Posted
175 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Analyst
Indium
• Develop and maintain data analysis workflows using Python • Extract and process data from JSON-based REST APIs, SOAP services, and SFTP data feeds • Clean, validate, and transform data to support reporting and analytics use cases • Collaborate with engineering and business teams to understand data requirements • Troubleshoot data issues related to API integrations and file transfers • Document data flows, logic, and assumptions clearly
Job Requirements
- 2-4 years of experience as a Data Analyst
- Strong proficiency in Python for data analysis (Pandas, NumPy, etc.)
- Hands-on experience with JSON APIs and RESTful services
- Working knowledge of SOAP services
- Experience handling SFTP-based data feeds
- Understanding of data formats (JSON, XML, CSV)
- Strong analytical and problem-solving skills
- Good to have: Experience with SQL and databases
- Good to have: Exposure to cloud platforms (AWS/GCP/Azure)
- Good to have: Familiarity with scheduling and automation tools (Airflow, Cron, etc.)
Benefits
- Diversity, equity, and inclusion initiatives
- Women empowerment program
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Senior Data Analyst – Defense Programs
SandboxxConnecting our military community, making service members and their supporters more mission-ready than ever before.
• Architect and execute co‑marketing campaigns internally and with partners • Lead the design and execution of Sandboxx’s first end-to-end impact analytics framework. • Transform user engagement data into measurable insights that connect communication, family support, and military outcomes. • Build predictive and prescriptive models that identify the factors most correlated with improved performance and reduced attrition. • Develop dashboards and visualization tools that translate complex data into accessible, actionable stories for both leadership and partners. • Quantify Sandboxx’s economic and operational impact through defensible cost avoidance and efficiency models. • Deliver executive-ready briefs, summaries, and presentations that position Sandboxx as a trusted, data-informed partner. • Establish long-term data practices, documentation, and training that allow internal teams to sustain analytics growth after contract completion.
Senior Manager, Finance Data Analytics
InstacartInstacart invites the world to share love through food. This is how homemade is made.
• Design Scalable Financial Data Solutions – Develop robust data models, pipelines, and reporting systems that drive informed decision-making across teams. • Ensure Compliance & Governance – Embed “compliance by design” principles to uphold SOX standards, streamline audits, and enforce data governance. • Champion Data Integrity – Establish rigorous validation and monitoring frameworks to ensure accuracy, consistency, and reliability in financial data. • Lead & Develop Talent – Build, mentor, and scale a high-performing analytics team, fostering a culture of innovation and excellence. • Drive Cross-Functional Collaboration – Partner with Finance, Accounting, and Engineering to align data strategies with business objectives and operational needs. • Leadership Communication – Presenting insights and recommendations to senior leadership in a clear, impactful manner. • Cross Functional Collaboration – Partnering with stakeholders and product managers to translate requirements into scalable system designs.
• Lead end-to-end delivery of strategic analytics programs spanning multiple teams or business domains. • Architect scalable and reusable analytics solutions, including data pipelines, semantic models, and KPI frameworks. • Design and evangelize measurement strategies that drive alignment on goals and performance metrics. • Guide business-critical decision-making with deep, proactive insights using SQL, Looker, and statistical modeling. • Serve as an expert advisor to executives and senior leaders on data strategy and analytics capabilities. • Influence cross-functional partners to prioritize and integrate data-informed decision-making across initiatives. • Drive the evolution of internal analytics infrastructure, standards, and governance. • Coach and mentor analysts across teams; lead communities of practice and best-in-class knowledge sharing. • Represent the Analytics function in cross-org strategic planning and OKR development.



