Location: Remote — United States; team based in Manhattan, New York
Employment Type: Full-time
Annual Base Salary: $80,000–$100,000, depending on experience and qualifications
Experience: 2+ years of relevant experience; internships count toward this requirement
Required Technical Skills: Python and SQL
About The Company:
Rajlaxmi Solutions Private Limited (RSPL) is a software consultancy with over 30 years of experience delivering accounting, CRM, ERP, HRMS, and payroll solutions. As a Tally Certified 5-Star Partner and Bitrix24 Certified Gold Partner, with expertise in SAP Business One and SAP HANA, RSPL helps businesses improve operational efficiency through customized technology solutions.
Our offerings include TallyPrime and cloud services, Bitrix24 CRM implementations, SAP-based ERP solutions, and greytHR-powered HR and payroll automation. We work closely with clients to understand their business needs and deliver scalable solutions backed by responsive support.
About the Role:
We are seeking a Data Analyst who can turn business data into clear, actionable insights. In this role, you will work with data from accounting, CRM, ERP, and HRMS platforms to develop reports, build dashboards, identify trends, and support business decisions.
The ideal candidate has strong Python and SQL skills, practical experience analyzing business data, and the ability to communicate findings to technical and non-technical stakeholders.
Key Responsibilities:
Collect, clean, transform, and validate data from multiple business systems.
Write and optimize SQL queries to extract, combine, and analyze relational data.
Use Python, including libraries such as pandas and NumPy, to perform analysis and automate recurring tasks.
Develop and maintain dashboards and reports using Power BI, Tableau, Excel, or similar tools.
Analyze business performance, identify trends and anomalies, and recommend improvements.
Collaborate with clients and internal teams to define reporting requirements, metrics, and key performance indicators.
Apply statistical methods to investigate business questions and validate findings.
Maintain data quality checks and document data definitions, methodologies, and reporting processes.
Present findings through clear visualizations, written summaries, and stakeholder discussions.
Support ad hoc analysis while handling confidential business information responsibly.
Required Qualification:
At least 2 years of relevant experience in data analysis, business intelligence, reporting, or a related field. Relevant internship experience counts toward this requirement.
Proficiency in Python and SQL, with hands-on experience using both for data analysis.
Experience cleaning, transforming, validating, and analyzing structured datasets.
Strong Excel skills, including pivot tables, lookup functions, and data analysis.
Experience with a data visualization tool such as Power BI or Tableau.
Working knowledge of statistics, relational databases, and data modeling.
Strong analytical thinking, attention to detail, and problem-solving skills.
Clear communication skills and the ability to explain findings to diverse audiences.
Ability to manage priorities and collaborate effectively in a remote environment.
Preferred Qualification:
A bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Finance, or a related field, or equivalent practical experience.
Experience analyzing data from ERP, CRM, accounting, HRMS, or payroll systems.
Familiarity with TallyPrime, Bitrix24, SAP Business One, SAP HANA, or greytHR.
Experience with ETL workflows, reporting automation, APIs, or Git.
Compensation and Work Authorization:
Annual base salary of $80,000–$100,000, based on relevant experience, technical skills, and qualifications.
Candidates with valid OPT or STEM OPT work authorization are welcome to apply.
Employer support for eligible STEM OPT extensions, including completion of Form I-983 and required employer documentation, is available subject to applicable program requirements.