📋 Job Details at a Glance 📍 Location Hyderabad, Telangana, India 🏢 Company Decisions 👥 Experience 0-2 years 🎓 Qualification High School Diploma, Graduate, or equivalent education 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹2.8 – ₹4.5 LPA 🏢 Industry Technology 🛠 Key Skills data entry document review quality checking AI OCR web-based productivity platforms digital spreadsheets HITL Data Analyst at Decisions — Full Details & How to Apply Decisions is seeking a HITL Data Analyst in Hyderabad, Telangana, India , where freshers can leverage AI and OCR technologies to ensure data accuracy in a booming tech landscape. This role is an excellent entry point for those looking to kickstart their careers in a rapidly evolving industry. The demand for HITL Data Analyst jobs is surging as companies increasingly rely on AI-driven solutions. As organizations strive for operational efficiency, the role of data analysts becomes crucial in enhancing automated data processes. This position at Decisions allows freshers to enter a thriving sector that is reshaping the technology landscape. What sets Decisions apart is its rapid growth since its founding in 2020 , now boasting a team of over 200 employees dedicated to innovative data solutions. The company’s focus on quality and accuracy in data management makes it an ideal employer for those looking to make their mark in the tech industry. With a culture that encourages learning and development, Decisions recruitment is aimed at nurturing fresh talent. We encourage 2022, 2023, 2024, 2025 graduates with a High School Diploma, Graduate, or equivalent education and 0-2 years experience to apply. This role offers a competitive salary ranging from ₹2.8 – ₹4.5 LPA , making it an attractive entry point into the field of data analytics. In this role, you will gain hands-on experience with essential skills such as data entry , document review , quality checking , and proficiency in AI , OCR , and web-based productivity platforms. These skills not only enhance your resume but also open doors to advanced positions in data analytics and technology management. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The HITL Data Analyst at Decisions plays a crucial role in ensuring data accuracy and compliance through meticulous review and validation processes. This role directly impacts the quality of data-driven decisions. Review automated data transcripts using AI tools to ensure accuracy and compliance with established quality standards. Utilize OCR technology to validate data fields, correcting anomalies in real-time to maintain data integrity. Collaborate with the Quality Assurance team to align on workflow instructions and performance metrics for optimal data processing. Monitor and report on data accuracy metrics, striving for a 100% data quality score in all deliverables. Take initiative in identifying process improvements to enhance data validation workflows, contributing to overall efficiency. Document findings and communicate insights effectively to team leads and stakeholders, ensuring transparency in data handling. Engage in problem-solving discussions with clients to address data discrepancies, fostering trust and reliability. This role empowers you to take ownership of data quality, directly impacting the success of Decisions and its clients through your contributions. Required Skills & Technical Competencies The ideal candidate for the HITL Data Analyst position must possess a robust skill set focused on data accuracy and quality assurance. Technical Skills Data Entry — intermediate — critical for maintaining accuracy in data processing and ensuring compliance with quality standards. Document Review — intermediate — essential for identifying errors in automated transcripts, applied daily in this role. Quality Checking — intermediate — involves assessing data integrity, ensuring compliance with established standards. Digital Spreadsheets — intermediate — used extensively for data organization and reporting, facilitating efficient data management. Attention to Detail — intermediate — vital for spotting discrepancies in data, directly impacting the quality of outputs. Soft Skills & Professional Competencies Analytical Thinking — necessary for evaluating data accuracy and identifying potential issues in data sets. Effective Communication — crucial for documenting findings and conveying insights to team leads and stakeholders. Problem-Solving — essential for engaging in discussions with clients to address data discrepancies and improve processes. Time Management — important for prioritizing tasks and meeting deadlines in a structured workflow. Good to Have (Bonus Skills) Experience with AI Tools — enhances efficiency in data processing and opens up advanced analytics opportunities. Knowledge of Web-Based Productivity Platforms — streamlines workflow and improves collaboration among team members. Familiarity with Data Visualization Tools — aids in presenting data insights effectively to stakeholders. When showcasing these skills in your resume or interview, emphasize specific examples of how you have applied them in previous roles or projects. Eligibility Criteria This role is designed for recent graduates or individuals with foundational data skills seeking to start their career in data analysis. A High School Diploma or equivalent is required, providing essential data skills. Eligible batches include 2022, 2023, 2024, and 2025 , allowing fresh graduates to apply. While 1+ year of experience is preferred, freshers with strong attention to detail are encouraged to apply. No specific CGPA requirement, but a strong academic record is advantageous for this role. Internship experience in data-related roles can provide a competitive edge in the selection process. Documentation & Portfolio Requirements Submit your resume in a clear format, including relevant coursework, internships, and any data-related projects that demonstrate your skills. Pro Tip: Highlight any specific tools or technologies you have used in your previous experiences to stand out in your application for the HITL Data Analyst role. Salary for HITL Data Analyst at Decisions 💰 Compensation ₹2.8 – ₹4.5 LPA The advertised compensation for the HITL Data Analyst role at Decisions is ₹2.8 – ₹4.5 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Decisions The selection process for the HITL Data Analyst role is designed to identify candidates with the right skills and cultural fit. 1 Online Aptitude Test — 60 minutes, assessing logical reasoning and data interpretation skills. 2 Technical Interview — focuses on data entry, document review, and quality checking techniques. 3 Behavioral Interview — evaluates cultural fit and problem-solving abilities through situational questions. 4 HR Interview — discusses offer details and company culture, typically within one week of the last round. Topic-wise Preparation Guide Round 1: Online Aptitude Test Logical reasoning — essential for data analysis tasks — Khan Academy Data interpretation — critical for understanding data trends — Khan Academy Basic mathematics — necessary for accurate data entry — Khan Academy Attention to detail — relevant for quality checking — MindTools Round 2: Technical Interview Data entry techniques — focus on speed and accuracy — GeeksForGeeks Document review processes — depth in identifying errors — GeeksForGeeks Quality assurance standards — understanding compliance requirements — GeeksForGeeks AI and OCR fundamentals — knowledge of how these technologies work — Coursera Spreadsheet proficiency — practical application in data management — W3Schools Round 3: Behavioral Interview Behavioral questions using the STAR method — relevant to teamwork and problem-solving — MindTools Conflict resolution scenarios — assessing interpersonal skills — MindTools Technical deep-dive into data validation processes — understanding data integrity — GeeksForGeeks Timeline & Expectations The typical timeline from application to offer can take around 2-4 weeks , depending on the number of candidates and scheduling. Prepare thoroughly for each round, as the company values both technical skills and cultural fit. Expected Interview Questions for HITL Data Analyst at Decisions The following questions are tailored to the specific technologies and skills required for this role. Technical Questions What is your experience with data entry software? How do you ensure accuracy in document reviews? Explain how OCR technology works. What steps do you take to validate data? Describe a time you identified an error in data processing. How do you prioritize tasks in a queue-based production environment? Behavioral Questions Describe a situation where you had to pay attention to detail. How do you handle tight deadlines? Give an example of a time you worked in a team. How do you approach problem-solving in data-related tasks? Role-Specific Questions What do you understand by Human-in-the-Loop data analysis? How would you correct an anomaly in automated data? What metrics would you use to assess data quality? Structure your answers using the STAR method to clearly demonstrate your thought process and experiences. Resume Tailoring & ATS Keywords for HITL Data Analyst Optimizing your resume for ATS is crucial to ensure it gets noticed for this role. ATS Keywords to Include HITL Data Analyst data entry document review quality checking AI OCR web-based productivity platforms digital spreadsheets attention to detail data validation performance metrics team collaboration Resume Tips for This Role Highlight any experience with data entry or document review to align with job requirements. Emphasize familiarity with AI or OCR technologies, even from academic projects. Include any relevant internships or projects that showcase your data skills. Optimize for ATS by using keywords from the job description. Avoid including unrelated work experience that does not demonstrate relevant skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or experiences that do not relate to the data analyst role. About Decisions Founded in 2020 , Decisions is headquartered in Hyderabad, Telangana, India , and has quickly established itself as a significant player in the technology sector. With a focus on innovative solutions, the company aims to enhance data accuracy and efficiency across various industries, leveraging its global footprint to serve clients effectively. Decisions specializes in AI-driven data processing and quality assurance , utilizing advanced technologies such as Optical Character Recognition (OCR) and machine learning algorithms. These core offerings enable businesses to streamline their data workflows, ensuring high levels of accuracy and reliability in their operations. The company has garnered positive reviews on Glassdoor, highlighting its collaborative culture and commitment to employee development. Decisions actively promotes programs that foster professional growth, including mentorship initiatives and training workshops, which contribute to a supportive work environment. Recently, Decisions secured a significant funding round aimed at expanding its AI capabilities . This investment reflects the company's strong growth trajectory and its commitment to enhancing technology solutions that meet the evolving needs of its clients. Joining Decisions as a fresher provides a unique opportunity to work with cutting-edge technologies and gain valuable industry experience. The company’s focus on innovation and employee development makes it an ideal launchpad for a successful career in technology. Why Join Decisions as HITL Data Analyst? As a HITL Data Analyst at Decisions, you will gain hands-on experience with advanced technologies that are crucial for the future of data analytics. This role offers a unique chance to develop your skills in a rapidly growing field. Advanced AI Tools — Learn to navigate sophisticated AI and OCR technologies that are essential for modern data analytics. Web-Based Productivity Platforms — Gain practical experience with digital tools that enhance your efficiency and effectiveness in data management. Career Advancement — Opportunities for growth into roles such as Data Scientist or Quality Assurance Lead within 1-2 years, based on performance. Supportive Work Culture — Experience a collaborative environment that emphasizes teamwork, continuous learning, and employee well-being. Vibrant Lifestyle — Enjoy living in Hyderabad , a growing tech hub that offers a rich cultural experience and numerous networking opportunities. According to NexisGrow.com, starting your career as a HITL Data Analyst at Decisions positions you at the forefront of technology innovation, providing invaluable experience and growth potential in the data analytics field. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for HITL Data Analyst at Decisions? Eligibility Tap to expand + Answer Candidates with High School Diploma, Graduate, or equivalent education and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: data entry, document review, quality checking, AI, OCR. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹2.8 – ₹4.5 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Decisions? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: data entry, document review, quality checking, AI, OCR. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the HITL Data Analyst interview? Preparation Tap to expand + Answer (1) Core concepts of data entry, document review, quality checking, AI, OCR, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Decisions research, (5) Clear communication. ? What is the work culture like at Decisions? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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