About Fornax Fornax is a fast-growing Data Strategy & Analytics firm based in Mumbai, India. We partner with leading Ecommerce, Retail, and Manufacturing organisations to bridge the gap between strategic vision and tactical execution through powerful, end-to-end data frameworks. Our capabilities span the full analytics lifecycle — from foundational data engineering and infrastructure to advanced visualisation, process automation, predictive modeling, and enterprise AI implementation. As we continue on our strong growth trajectory, we’re looking to bring on a Tech Journalist to help shape our voice and tell our story to the world. Role Overview We are seeking a dynamic and driven Tech Journalist with a passion for Data, Analytics, and emerging technologies. In this role, you will be responsible for leading all written content efforts for Fornax — from thought leadership and executive voice to social media and business development materials. Key Responsibilities Lead all technical and non-technical writing initiatives across the company. Develop and execute a content strategy aligned with the tone, positioning, and strategic goals of the Fornax brand. Create, manage, and publish content across channels including LinkedIn, X (Twitter), company website, and blogs. Write compelling content for business development, sales decks, and stakeholder communication. Craft thought leadership content for the brand and executive team (CEO & CXOs). Collaborate with cross-functional teams (growth, product, delivery) to convert ideas and data into impactful stories. Stay current on trends in tech, data, and analytics to inform content planning Preferred Profile 2+ years of experience in journalism, tech writing, or content strategy roles. Demonstrated experience writing about technology — preference for Data, AI, and Analytics. Exceptional storytelling, writing, and editing skills. Strong grasp of B2B communication and content marketing principles. Ability to convert complex concepts into engaging narratives for diverse audiences. Proactive, independent, and comfortable working in a fast-paced environment. Bonus: Understanding of the data and analytics domain. Why Join Us Join a fast-growing, high-impact firm redefining how businesses use data. Work closely with senior leadership and domain experts. Drive content that influences decision-makers in leading industries. Hybrid working model with flexibility and autonomy. Make your mark on the voice of a brand that’s on the rise. To Apply - Email your resume, 2-3 writing samples (preferably related to tech/data), and a short A note on why you're a good fit to prathamesh@fornaxhq.co Show more Show less
Job Title: Junior Process Associate Company: Fornax BPO Pvt. Ltd. Location: Unit No. 502, 503, Prince Kushal Towers, 5th Floor, A Wing, 504, Anna Salai, Chennai, Tamil Nadu - 600002 Contact: Phone: 044 - 28290161 / 28291161 Email: [email protected] Job Summary: Fornax BPO Pvt. Ltd. is hiring Junior Process Associates for our Medical Billing - Non-Voice Process team. This is an excellent opportunity for freshers with 0 to 1 year of experience looking to start their career in the BPO/KPO industry. Key Responsibilities: Perform payment posting and processing tasks accurately. Work with medical billing systems and documentation. Ensure timely and accurate data entry. Collaborate with the team to meet process goals. Maintain confidentiality and follow compliance guidelines. Required Skills: Basic typing skills (average typing speed) Good verbal and written communication Team coordination and time management Basic understanding of medical billing processes Non-voice process handling Eligibility Criteria: Education: Minimum 12th + Degree / 10th + Diploma Experience: 0 to 1 year (Freshers welcome) Salary Package: ₹1,44,000 per annum Shift Timings: Female Candidates: Day Shift Male Candidates: Night Shift If you meet the eligibility criteria and are looking to begin your career in the BPO industry, we invite you to apply and grow with us! Job Types: Full-time, Fresher Pay: ₹10,000.00 - ₹114,000.00 per year Benefits: Health insurance Leave encashment Provident Fund Schedule: Day shift Evening shift Monday to Friday Morning shift Night shift Rotational shift Supplemental Pay: Commission pay Overtime pay Performance bonus Quarterly bonus Shift allowance Yearly bonus Work Location: In person Speak with the employer +91 8148500339
Job Title: Junior Process Associate Company: Fornax BPO Pvt. Ltd. Location: Unit No. 502, 503, Prince Kushal Towers, 5th Floor, A Wing, 504, Anna Salai, Chennai, Tamil Nadu - 600002 Contact: Phone: 044 - 28290161 / 28291161 Email: priyadarshini26567@gmail.com Job Summary: Fornax BPO Pvt. Ltd. is hiring Junior Process Associates for our Medical Billing - Non-Voice Process team. This is an excellent opportunity for freshers with 0 to 1 year of experience looking to start their career in the BPO/KPO industry. Key Responsibilities: Perform payment posting and processing tasks accurately. Work with medical billing systems and documentation. Ensure timely and accurate data entry. Collaborate with the team to meet process goals. Maintain confidentiality and follow compliance guidelines. Required Skills: Basic typing skills (average typing speed) Good verbal and written communication Team coordination and time management Basic understanding of medical billing processes Non-voice process handling Eligibility Criteria: Education: Minimum 12th + Degree / 10th + Diploma Experience: 0 to 1 year (Freshers welcome) Salary Package: ₹1,44,000 per annum Shift Timings: Female Candidates: Day Shift Male Candidates: Night Shift If you meet the eligibility criteria and are looking to begin your career in the BPO industry, we invite you to apply and grow with us! Job Types: Full-time, Fresher Pay: ₹10,000.00 - ₹114,000.00 per year Benefits: Health insurance Leave encashment Provident Fund Schedule: Day shift Evening shift Monday to Friday Morning shift Night shift Rotational shift Supplemental Pay: Commission pay Overtime pay Performance bonus Quarterly bonus Shift allowance Yearly bonus Work Location: In person Speak with the employer +91 8148500339
Who is this for If solving business challenges drives you. This is the place to be. Fornax is a team of cross-functional individuals who solve critial business challenges using core concept of analytics, critical thinking. We are seeking a skilled Analytics Engineer who has worked in a Retail/D2C domain. The ideal candidate will possess a strong blend of functional and technical expertise, particularly in Google Analytics, Google Ads, Facebook Ads, Amazon Ads. Good understanding of the entire D2C / E-Commerce marketing value chain. The Analytics Engineer will play a critical role in designing, developing, and maintaining our data infrastructure. This role involves working closely with data scientists, analysts, and business stakeholders to ensure data integrity, build robust data pipelines, and deliver insightful analytics solutions. The ideal candidate has a strong background in data engineering, analytics, and a keen eye for detail. Key Responsibilities: Stake Holder Management & Collaboration ( 10 % ) :- Work with data scientists, analysts, and stakeholders to understand data needs. Analyze and interpret data to identify trends, opportunities, and areas for improvement. Analyse business needs of stakeholders and customers. Gather Customer requirements via workshop questionnaires, surveys, site visit, Workflow storyboards, use cases and scenario mappings. Translate Business Requirements into functional requirements Create extensive project scope documentations to keep project and client teams on the same page. Collaborate with cross-functional teams to integrate analytics insights into the client’s operational processes. Data Modeling ( 50% ) : Develop and maintain data models to support analytics and reporting. Design dimensional models and star schemas to effectively organize retail data including sales, inventory, customer behavior, and product performance metrics Collaborate with business stakeholders to translate analytical requirements into efficient data structures and ensure models align with reporting needs Document data lineage, business rules, and model specifications to ensure knowledge transfer and maintain data governance standards Data Quality Management & Governance(20%) : Develop and implement comprehensive data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency of retail and e-commerce data Lead root cause analysis of data quality issues and implement preventive measures to minimize future occurrences Implement data cleansing and enrichment processes to improve the overall quality of historical and incoming data Provide training and support to team members on data quality best practices and validation procedures Project and Team Management (20%) : Lead end-to-end analytics projects from initiation to delivery, ensuring adherence to timelines, budgets, and quality standards Coordinate cross-functional project teams including data engineers, analysts, and business stakeholders to achieve project objectives Develop detailed project plans, resource allocation strategies, and risk mitigation plans for analytics initiatives Mentor junior team members and provide technical guidance on analytics engineering best practices and methodologies Facilitate project status meetings, manage deliverable timelines, and communicate progress updates to senior leadership and clients Establish and maintain project documentation standards, including technical specifications, testing protocols, and deployment procedures Identify and resolve project bottlenecks, resource constraints, and technical challenges to ensure successful project completion Drive continuous improvement initiatives within the team by implementing agile methodologies and optimizing workflow processes Key Qualifications Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or related field. Experience: 2+ years of experience in analytics. Technical Skills: Proficiency in SQL and database technologies Core expertise with dbt (data build tool). Experience with data pipeline tools (e.g., Apache Airflow/ Mage). Familiarity with cloud platforms (e.g., AWS, Google Cloud). Knowledge of Python or R. Experience with data visualization tools (e.g., Tableau, Power BI). Key Responsibilities: Data Pipeline Development: Design, build, and maintain scalable ETL processes. Data Modeling: Develop and maintain data models to support analytics and reporting. Collaboration: Work with data scientists, analysts, and stakeholders to understand data needs. Data Quality: Implement data quality checks and ensure data accuracy.
Who is this for If solving business challenges drives you. This is the place to be. Fornax is a team of cross-functional individuals who solve critial business challenges using core concept of analytics, critical thinking. We are seeking a skilled Analytics Engineer who has worked in a Retail/D2C domain. The ideal candidate will possess a strong blend of functional and technical expertise, particularly in Google Analytics, Google Ads, Facebook Ads, Amazon Ads. Good understanding of the entire D2C / E-Commerce marketing value chain. The Analytics Engineer will play a critical role in designing, developing, and maintaining our data infrastructure. This role involves working closely with data scientists, analysts, and business stakeholders to ensure data integrity, build robust data pipelines, and deliver insightful analytics solutions. The ideal candidate has a strong background in data engineering, analytics, and a keen eye for detail. Key Responsibilities : Stake Holder Management & Collaboration ( 20 % ) :- Work with data scientists, analysts, and stakeholders to understand data needs. Analyze and interpret data to identify trends, opportunities, and areas for improvement. Analyse business needs of stakeholders and customers. Gather Customer requirements via workshop questionnaires, surveys, site visit, Workflow storyboards, use cases and scenario mappings. Translate Business Requirements into functional requirements Create extensive project scope documentations to keep project and client teams on the same page. Collaborate with cross-functional teams to integrate analytics insights into the client’s operational processes. Data Modeling ( 40% ) : Develop and maintain data models to support analytics and reporting. Design dimensional models and star schemas to effectively organize retail data including sales, inventory, customer behavior, and product performance metrics Collaborate with business stakeholders to translate analytical requirements into efficient data structures and ensure models align with reporting needs Document data lineage, business rules, and model specifications to ensure knowledge transfer and maintain data governance standards Data Quality Management & Governance(20%) : Develop and implement comprehensive data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency of retail and e-commerce data Lead root cause analysis of data quality issues and implement preventive measures to minimize future occurrences Implement data cleansing and enrichment processes to improve the overall quality of historical and incoming data Provide training and support to team members on data quality best practices and validation procedures Project and Team Management (20%) : Lead end-to-end analytics projects from initiation to delivery, ensuring adherence to timelines, budgets, and quality standards Coordinate cross-functional project teams including data engineers, analysts, and business stakeholders to achieve project objectives Develop detailed project plans, resource allocation strategies, and risk mitigation plans for analytics initiatives Mentor junior team members and provide technical guidance on analytics engineering best practices and methodologies Facilitate project status meetings, manage deliverable timelines, and communicate progress updates to senior leadership and clients Establish and maintain project documentation standards, including technical specifications, testing protocols, and deployment procedures Identify and resolve project bottlenecks, resource constraints, and technical challenges to ensure successful project completion Drive continuous improvement initiatives within the team by implementing agile methodologies and optimizing workflow processes Key Qualifications Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or related field. Experience: 6+ years of experience in analytics. Technical Skills: Proficiency in SQL and database technologies Core expertise with dbt (data build tool). Experience with data pipeline tools (e.g., Apache Airflow/ Mage). Familiarity with cloud platforms (e.g., AWS, Google Cloud). Knowledge of Python or R. Experience with data visualization tools (e.g., Tableau, Power BI). Key Responsibilities : Data Pipeline Development: Design, build, and maintain scalable ETL processes. Data Modeling: Develop and maintain data models to support analytics and reporting. Collaboration: Work with data scientists, analysts, and stakeholders to understand data needs. Data Quality: Implement data quality checks and ensure data accuracy.
If solving business challenges drives you. This is the place to be. Fornax is a team of cross-functional individuals who solve critical business challenges using core concepts of analytics, critical thinking. We are seeking a skilled Data Scientist who has worked in the Marketing domain. The ideal candidate will possess a strong blend of statistical expertise and business acumen, particularly in Marketing Mix Modeling (MMM), Causality Analysis, and Marketing Incrementality. Good understanding of the entire marketing value chain and measurement strategies. The Data Scientist will play a critical role in developing advanced analytical solutions to measure marketing effectiveness, optimize marketing spend, and drive data-driven decision making. This role involves working closely with marketing teams, analysts, and business stakeholders to deliver actionable insights through statistical modeling and experimentation. The ideal candidate has a strong background in statistical analysis, causal inference, and marketing analytics. Responsibilities : Modeling & Analysis (70%) : Develop and maintain Marketing Mix Models (MMM) to measure the effectiveness of marketing channels and campaigns Design and implement causal inference methodologies to identify true incremental impact of marketing activities Build attribution models to understand customer journey and touchpoint effectiveness Conduct advanced statistical analysis including regression, time series, and Bayesian methods Develop predictive models for customer behavior, campaign performance, and ROI optimization Create experimental designs for A/B testing and incrementality studies Perform promotional analysis to measure lift, cannibalization, and optimal discount strategies across products and channels Stakeholder Management & Collaboration ( 30% ) : Partner with business teams to understand business objectives and analytical needs Translate complex statistical findings into actionable business recommendations Present analytical insights and model results to non-technical stakeholders Collaborate with data engineers to ensure data quality and availability for modeling Work with business teams to design and implement measurement strategies Create documentation and knowledge transfer materials for analytical methodologies Key Qualifications Education: Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, or related quantitative field. Master's degree preferred. Experience: 2-3 years of experience as a Data Scientist with focus on marketing analytics. Technical Skills: Strong proficiency in Python or R for statistical analysis Expertise in statistical modeling techniques (regression, time series, Bayesian methods) Experience with Marketing Mix Modeling (MMM) frameworks and tools Knowledge of causal inference methods (DiD, IV, RDD, Synthetic Controls) Proficiency in SQL for data manipulation and analysis Understanding of machine learning algorithms and their applications Deep understanding of marketing channels and measurement strategies Familiarity with marketing metrics (CAC, LTV, ROAS, etc.) Understanding of media planning and optimization concepts
Job Title: Junior Process Associate Company: Fornax BPO Pvt. Ltd. Location: Unit No. 502, 503, Prince Kushal Towers, 5th Floor, A Wing, 504, Anna Salai, Chennai, Tamil Nadu - 600002 Contact: Phone: 044 - 28290161 / 28291161 Email: [email protected] Job Summary: Fornax BPO Pvt. Ltd. is hiring Junior Process Associates for our Medical Billing - Non-Voice Process team. This is an excellent opportunity for freshers with 0 to 1 year of experience looking to start their career in the BPO/KPO industry. Key Responsibilities: Perform payment posting and processing tasks accurately. Work with medical billing systems and documentation. Ensure timely and accurate data entry. Collaborate with the team to meet process goals. Maintain confidentiality and follow compliance guidelines. Required Skills: Basic typing skills (average typing speed) Good verbal and written communication Team coordination and time management Basic understanding of medical billing processes Non-voice process handling Eligibility Criteria: Education: Minimum 12th + Degree / 10th + Diploma Experience: 0 to 1 year (Freshers welcome) Salary Package: ₹1,44,000 per annum Shift Timings: Female Candidates: Day Shift Male Candidates: Night Shift If you meet the eligibility criteria and are looking to begin your career in the BPO industry, we invite you to apply and grow with us! Job Types: Full-time, Fresher Pay: ₹10,000.00 - ₹114,000.00 per year Benefits: Health insurance Leave encashment Provident Fund Work Location: In person
If solving business challenges drives you. This is the place to be. Fornax is a team of cross-functional individuals who solve critical business challenges using core concepts of analytics, critical thinking. We are seeking a skilled Data Scientist who has worked in the Marketing domain. The ideal candidate will possess a strong blend of statistical expertise and business acumen, particularly in Marketing Mix Modeling (MMM), Causality Analysis, and Marketing Incrementality. Good understanding of the entire marketing value chain and measurement strategies. The Data Scientist will play a critical role in developing advanced analytical solutions to measure marketing effectiveness, optimize marketing spend, and drive data-driven decision making. This role involves working closely with marketing teams, analysts, and business stakeholders to deliver actionable insights through statistical modeling and experimentation. The ideal candidate has a strong background in statistical analysis, causal inference, and marketing analytics. Responsibilities : Modeling & Analysis (70%) : Develop and maintain Marketing Mix Models (MMM) to measure the effectiveness of marketing channels and campaigns Design and implement causal inference methodologies to identify true incremental impact of marketing activities Build attribution models to understand customer journey and touchpoint effectiveness Conduct advanced statistical analysis including regression, time series, and Bayesian methods Develop predictive models for customer behavior, campaign performance, and ROI optimization Create experimental designs for A/B testing and incrementality studies Perform promotional analysis to measure lift, cannibalization, and optimal discount strategies across products and channels Stakeholder Management & Collaboration ( 30% ) : Partner with business teams to understand business objectives and analytical needs Translate complex statistical findings into actionable business recommendations Present analytical insights and model results to non-technical stakeholders Collaborate with data engineers to ensure data quality and availability for modeling Work with business teams to design and implement measurement strategies Create documentation and knowledge transfer materials for analytical methodologies Key Qualifications Education: Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, or related quantitative field. Master's degree preferred. Experience: 2-3 years of experience as a Data Scientist with focus on marketing analytics. Technical Skills: Strong proficiency in Python or R for statistical analysis Expertise in statistical modeling techniques (regression, time series, Bayesian methods) Experience with Marketing Mix Modeling (MMM) frameworks and tools Knowledge of causal inference methods (DiD, IV, RDD, Synthetic Controls) Proficiency in SQL for data manipulation and analysis Understanding of machine learning algorithms and their applications Deep understanding of marketing channels and measurement strategies Familiarity with marketing metrics (CAC, LTV, ROAS, etc.) Understanding of media planning and optimization concepts
Company Description Fornax is a data-driven solutions company dedicated to helping clients optimize, automate, and analyze their data. Our mission is to transform raw data into valuable insights for faster, more accurate decision-making. We specialize in data strategy consulting, data analytics, data engineering, and robust data infrastructure. With a focus on scalable and customized solutions, we empower businesses of all sizes to unlock their data's true potential. Key Responsibilities : AI System Architecture & Development ( 40% ) : Design and implement intelligent automation systems and agentic AI architectures using advanced orchestration patterns Develop specialized AI systems for specific business functions (content generation, customer service, marketing optimization, analytics) Build communication frameworks with event-driven messaging and shared context management for agentic workflows Implement coordination logic for complex, multi-step business processes with autonomous decision-making Create robust error handling, fallback mechanisms, and escalation protocols for agentic systems Optimize system performance for cost efficiency and response time LLM Integration & Optimisation ( 30 % ) : Integrate multiple LLM providers (OpenAI, Anthropic, open-source models) with intelligent routing Design and maintain prompt engineering frameworks with dynamic template systems Implement model selection logic based on task complexity, cost, and performance requirements Build fine-tuning pipelines for domain-specific model optimization Create evaluation frameworks for AI system performance and output quality Manage token usage optimization and cost monitoring across all systems Infrastructure & DevOps ( 10%) : Deploy and maintain AI systems in cloud environments (AWS) Implement monitoring, logging, and alerting for system operations Design auto-scaling infrastructure for variable AI workloads Manage deployment pipelines and version control for system updates Ensure system security, data privacy, and compliance requirements Optimize infrastructure costs and resource utilization Key Qualifications Education : Bachelor's degree in Computer Science, AI/ML, Software Engineering, or related field. Experience : 1+ years of experience in AI/ML engineering, with 1+ years specifically in LLM systems, agentic AI systems, or intelligent automation frameworks.
Who is this for If turning complex data into clear strategic insights drives you, this is your opportunity. Fornax is seeking a Strategic Data Consultant who bridges the gap between technical analytics and business decision-making in the Retail domain. We are looking for a data-savvy consultant who excels at interpreting data warehouse outputs, translating findings into actionable strategies, and empowering teams to make confident data-driven decisions. Key Responsibilities Data Interpretation & Strategic Insights ( 25 % ) Analyze complex datasets from data warehouses to identify business-critical patterns, trends, and anomalies Transform raw analytics outputs into clear, actionable strategic recommendations for business stakeholders Conduct deep-dive analyses on customer behavior, sales performance, inventory optimization, and market trends Develop data-driven hypotheses and validate them through comprehensive analytical investigations Create executive-level insights summaries that translate technical findings into business language Identify correlations and causations in data that inform strategic business decisions Team Enablement ( 20 % ) Train and upskill cross-functional teams on data interpretation, analytics tools, and data-driven decision making Develop standardized frameworks and methodologies for teams to independently analyze and interpret data Create data literacy programs tailored to different organizational levels and functional areas Facilitate data interpretation workshops and training sessions for business stakeholders Design self-service analytics guidelines and best practices for non-technical users Mentor business teams on asking the right analytical questions and interpreting results correctly Strategic Decision Support ( 25 % ) Partner with business leaders to translate strategic questions into analytical frameworks and data requirements Provide data-backed recommendations for key business decisions including product launches, market expansion, and customer acquisition strategies Develop and maintain strategic KPI frameworks that align with business objectives and data capabilities Lead data-driven strategic planning sessions and quarterly business reviews Create scenario analysis and predictive models to support strategic planning and risk assessment Validate business assumptions and strategies through comprehensive data analysis Analytics Strategy & Implementation (25%) Design analytics roadmaps that align data capabilities with business strategic priorities Collaborate with technical teams to ensure data models and dashboards support strategic decision-making needs Define and prioritize analytics use cases that deliver maximum business value Establish data governance frameworks for strategic decision-making processes Monitor and optimize the effectiveness of data-driven strategies and recommend improvements Key Skills Education & Experience Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, or related quantitative field MBA or Master's degree in Business Administration, Strategy, or related field preferred 2+ years of experience in data analysis, business intelligence, or analytics consulting in retail Proven track record of translating data insights into successful business strategies Experience working with senior leadership and cross-functional teams in strategic decision-making processes