Data Analyst (Remote)

Artha.link’s interview process typically starts with a timed online aptitude test, followed by a technical interview that probes Python coding, data manipulation, and basic NLP concepts. The final HR round assesses cultural fit and communication skills. Candidates should practice real‑world data cleaning tasks and be ready to discuss past projects involving language data.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (Python, Data Analysis, NLP concepts) → Round 3: HR Interview (cultural fit, communication skills).

Artha.link promotes a collaborative, data‑driven culture where ideas are openly shared and employees are encouraged to experiment. The company offers flexible remote work, regular learning sessions, and a clear path for career progression, ensuring a healthy work‑life balance.

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Linguistics, or related fields; minimum 60% aggregate (or CGPA 6.5/10); graduating batch 2024‑2026; no active backlogs at the time of joining; proficiency in English and Russian (reading & writing).

Artha.link is a fast‑growing technology‑driven recruitment platform that connects talent with some of the most innovative AI‑focused companies in India and abroad. Founded by a team of former data scientists and product engineers, the firm has built a robust ecosystem that leverages large language models to streamline hiring, talent assessment, and skill‑matching processes. With a culture rooted in continuous learning, data‑first decision making, and a strong emphasis on employee well‑being, Artha.link has quickly become a preferred employer for fresh graduates looking to dive into the world of AI and analytics. The role of Data Analyst (Remote) is positioned at the intersection of linguistic data processing and AI model fine‑tuning. As a remote full‑time analyst, you will work closely with AI engineers, product managers, and research teams to transform raw Russian‑language content into structured training data, validate factual claims, and design challenging scenario‑based puzzles that push the limits of large language models. This position offers a unique opportunity to contribute directly to the core AI products that power Artha.link’s talent‑matching engine while gaining hands‑on experience with cutting‑edge NLP technologies. **Key Responsibilities** 1. Read, comprehend, and summarize extensive Russian‑language documents, breaking them into logical sections for model ingestion. 2. Conduct independent online research to verify factual statements and ensure data integrity. 3. Produce detailed annotations and constructive feedback on model outputs to guide iterative improvements. 4. Design scenario‑based puzzles that test model reasoning, and draft corrective explanations for erroneous responses. 5. Analyze quantitative datasets such as sales distributions, identify growth patterns, and present insights in clear visual formats. 6. Collaborate with AI engineers to integrate analytical findings into model fine‑tuning pipelines. 7. Maintain a high standard of data quality, adhering to annotation guidelines and documentation best practices. 8. Participate in regular knowledge‑sharing sessions, contributing to the team’s evolving best‑practice repository. 9. Assist in creating training material for future analysts and interns. 10. Monitor model performance metrics and suggest data‑driven enhancements. **Tech Stack**: Python, Pandas, NumPy, SQL, Jupyter Notebooks, Git, REST APIs, Large Language Model frameworks (e.g., Hugging Face Transformers), basic cloud services (AWS/GCP), and annotation tools such as Prodigy or Labelbox. **Growth Path**: Starting as a Data Analyst, high performers can progress to Senior Analyst, then to AI Data Engineer or Product Analyst roles, eventually moving into AI Product Management or Research Scientist tracks depending on interests and skill development. **Why Join Artha.link?** You will be part of a mission‑critical AI team, work remotely with flexibility, receive mentorship from seasoned AI professionals, and gain exposure to real‑world NLP challenges that impact thousands of job seekers. The company’s commitment to continuous upskilling, transparent performance reviews, and a supportive work‑life balance makes it an ideal launchpad for fresh talent eager to make a mark in the AI analytics space.