Website Aroha Technologies

Apply for the Data Analyst job at Aroha Technologies in Bengaluru (0-3 years of experience). Master data management, data mining, warehousing, SQL, and Python.

About the Company: Aroha Technologies

Aroha Technologies is a premier IT services and consulting enterprise specialising in advanced software development, data services, digital transformation, and professional staff augmentation. Over the last decade, Aroha has built a strong reputation as a trusted technology partner for mid-market and Fortune 500 enterprises alike.

Aroha Technologies

 

Operating from its primary delivery center in Bengaluru, the company builds high-performance data warehousing systems, customized enterprise applications, and modern business intelligence environments. Aroha Technologies is widely recognised for its vibrant learning culture and deep mentorship frameworks, making it an exceptional launchpad for entry-level tech professionals and junior analysts looking to hone their specialised technical skills.

About the Role: Data Analyst (0 – 3 Years Experience)

Are you an aspiring data professional eager to manage data lifecycles, optimise database integrity, and deliver actionable insights? Aroha Technologies is recruiting for a permanent, full-time Data Analyst in Bengaluru, Karnataka, India. This entry-to-junior level position is explicitly designed for candidates with 0 to 3 years of experience, making it a prime opportunity for both recent graduates (freshers) and early-career data specialists.

 

As a Data Analyst at Aroha Technologies, you will move beyond basic spreadsheet management to oversee the entire structural lifecycle of enterprise data. You will configure schemas, enforce data normalisation protocols, maintain data warehouses, build automated reporting environments, and collaborate directly with quality assurance teams to eliminate operational data anomalies.

Key Responsibilities & Core Data Workflows

  • Master Data Lifecycle Management: Manage the end-to-end creation, modification, validation, and programmatic deletion of enterprise master records.

  • Database Architecture & Access Security: Configure and maintain internal reporting environments, map metadata catalogues, and handle user role permissions to protect data assets.

  • Data Quality Assurance & Normalisation: Drive strict data integrity initiatives and structured formatting, auditing newly imported source arrays for discrepancies alongside QA analysts.

  • Data Mining & Cleansing Operations: Apply advanced data mining and semantic cleansing methods to extract signals from fragmented, multi-system source data.

  • Reporting Environment Engineering: Design, build, and optimise enterprise dashboards to generate automated insights from standalone or distributed data warehouses.

  • System Modernisation & Impact Testing: Evaluate upgrades to active production engines, review impact matrices, and assist system architects with software deployment decisions.

  • End-User Enablement: Conduct functional training sessions for corporate stakeholders and business leaders on new reporting tools and interactive performance tracking views.

Candidate Prerequisites & Key Technical Skills

Successful candidates should combine a strong logical mindset with an interest in relational database concepts, algorithmic thinking, and structural data patterns.

Required Qualifications & Education:

  • Experience Allotment: 0 to 3 years of experience in an analytical, technical support, or system-focused role. Freshers with strong foundational skills are encouraged to apply.

  • Educational Track: UG – Any Graduate / PG – Any Postgraduate (Degrees in Computer Science, Information Technology, Statistics, or Mathematics are highly preferred).

  • Employment Type: Full-Time, Permanent position within the Data Science & Analytics department.

Highly Desired Core Technical Competencies:

  • Database & Query Languages: Foundational knowledge of SQL queries, relational data properties, and tabular normalisation rules.

  • Analytical Scripting: Familiarity with programming frameworks like Python or R for data parsing and file cleaning.

  • Business Intelligence (BI) Tools: Exposure to structured reporting suites and dashboard tools (such as Power BI, Tableau, Alteryx, or Excel pivot tables).

  • Systems Comprehension: Basic understanding of data warehousing infrastructure, extraction methodologies (ETL), and data security frameworks.

  • Interpersonal Excellence: Strong analytical problem-solving skills paired with the communication clarity needed to train business end-users.

     

Core Position Specifications

  • Position Title: Data Analyst

  • Hiring Company: Aroha Technologies

  • Job Location: Bengaluru, Karnataka, India (On-site / Hybrid as dictated by project parameters)

  • Experience Benchmark: 0 – 3 Years

  • Compensation Package: Not Disclosed (Competitive industry entry-level standard based on technical round performance)

  • Industry Placement: IT Services & Consulting / Data Science & Analytics division

 

 

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