Data Analyst | CRM & Business Analytics | Generalist Builder | Automation • AI Agents • MVPs

Bengaluru

Metzingen, Baden-Württemberg, Germany


San Francisco Bay Area


India







Msc in Data Analytics and Information Systems Management, Berlin , Data Analytics
Arden University

Bachelor of Technology - BTech, Computer Science and Engineering
Presidency University Bangalore
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Download Tal BossData Analyst | CRM & Business Analytics | Generalist Builder | Automation • AI Agents • MVPs
I’m a Data Analyst by training, and a Generalist by how I operate. My core skill is Analysis. I like understanding how things work, what the data is actually saying, and where decisions are being made on weak assumptions. I’ve worked in structured analytics environments, most recently in the Customer Data & Analytics (CRM) team at HUGO BOSS, supporting business and customer reporting using SAP Analytics Cloud and Excel. Separately, I build MVPs. These are product experiments not dashboards. I use them to test ideas, user behavior, and business logic. Some are marketplaces, some are workflow tools, some are simple products. The goal is always the same: turn an idea into something real and see what breaks. Separately again, I experiment with Automation and AI Agents. This is where I reduce manual work, connect systems, extract information, or simulate decision-making. These aren’t products; they’re internal tools, shortcuts, and experiments to understand how far automation and agents can realistically go. I keep these lanes distinct because they serve different purposes: Data Analytics for clarity, MVPs for validation, and Automation and AI Agents for leverage. I’m looking for roles where this way of thinking is useful Data Analyst, Business Analyst, or Generalist roles in startups or early teams (Founders’ Office, Product Ops, Analytics) where ambiguity is normal and ownership is expected. What I Work On Data Analysis & Business Analytics CRM Reporting and Dashboards MVP Experiments and Early-Stage Products Automation Systems and AI Agents
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GTM ANALYTICS & DIGITAL GROWTH at ZPT, Jan 2026 - Present · 9 mos, Led a data-driven GTM and digital transformation initiative, applying customer, sales, acquisition, and channel analytics to identify growth opportunities, optimize local market positioning, and guide commercial decisions. Analyzed customer acquisition and campaign performance across Google Ads and digital channels, optimizing targeting, search intent, and geographic strategy to achieve ₹162 CAC and 25.9x ROAS while scaling to 500+ tracked conversions. Scaled local digital visibility to 12,293 Google Business Profile views, 3,505 interactions, and 635 customer calls, using search performance and customer engagement data to refine acquisition strategy and strengthen high-intent local demand. Built and analyzed the digital customer funnel across website, Google Search, Google Maps, and WhatsApp, generating 4,500+ website visitors in 90 days and contributing to ₹1M+ in business revenue through data-driven acquisition and operational improvements.
AI/ML Prompt Reviewer at Innodata Inc., Dec 2025 - May 2026 · 6 mos, Bengaluru, CLIENT - META Processed and structured large-scale text datasets for NLP and LLM training pipelines, applying domain-specific taxonomies to produce high-fidelity labeled data used in model fine-tuning and evaluation. Evaluated and scored AI-generated outputs across multiple quality dimensions (accuracy, relevance, coherence, safety) to support RLHF and model alignment workflows, directly informing iterative model improvement cycles. Performed systematic data validation and error analysis across syntax, factual accuracy, and content safety dimensions; flagged schema violations and edge cases to maintain dataset integrity for downstream model consumption. Sustained high throughput and precision across multi-thousand-record annotation batches, applying consistent labeling schemas to ensure dataset reliability, reproducibility, and readiness for ML training pipelines.
CRM Data Analytics and Reporting at HUGO BOSS, Dec 2024 - May 2025 · 6 mos, Metzingen, Baden-Württemberg, Germany, Preparation of analysis & performance reports on weekly & monthly basis focused on customer registration, advertisability, and loyalty using MS Excel, SAP Analysis for Office Performing various ad hoc analytical tasks and supporting team with different research requests from different stakeholders using MS Excel, SAP Analysis for Office, Databricks (PySpark) Supporting the GCE Consulting & Analytics team in answering questions related to BIS Reporting (SAP Lumira - enabled automized reports) Supporting GCE Consulting & Analytics team in various Data Visualisation topics using MS PPT, MS Excel Supporting GCE Consulting & Analytics team in Dashboarding topics, specifically after their rollout using for data verification purposes such tools as Databricks (SQL, PySpark), MS Excel, SAP Analysis for, Office, SAP Analytics Cloud Working in an international team and communicating across different departments and channels. Supporting Data Quality topics in case of ad hoc issues within the GCE area directly within live production environment Supporting the GCE Consulting & Analytics team during the testing phase before new releases and updates and detection of fields for improvement.
Customer Relationship Management Specialist at HUGO BOSS, Nov 2024 - May 2025 · 7 mos, Automated recurring CRM performance reports using Excel SAP Analysis for Office, improving stakeholder visibility by 30%. Delivered 20+ ad hoc analytical requests via Databricks (PySpark), Excel, and SAP, reducing turnaround time by 35%. Reviewed and refined dashboards in SAP Analytics Cloud and Databricks to ensure 100% data accuracy and consistency across markets. Investigated and resolved live data quality issues within the GCE analytics system, strengthening data reliability by 20%. Collaborated with Global Customer Experience and Analytics teams to align reporting processes and enhance system performance. Supported testing and validation of new GCE releases to ensure smooth rollout and stable data integration.
HR Data Analyst at Ascendion, Oct 2022 - Mar 2023 · 6 mos, San Francisco Bay Area, Conducted end-to-end recruitment processes for over 10 technical roles per week, improving time-to-fill by 25% and maintaining an 85% candidate acceptance rate. • Managed and analysed recruitment data using PowerBI and Excel, creating dashboards that tracked KPIs, leading to a 20% reduction in cost-per-hire and a 15% increase in candidate quality. • Evaluated and refined 100+ job descriptions and hiring criteria, ensuring a 30% better match between candidates and roles, and achieving a 100% compliance rate across various employment terms and visa categories. • Utilized job portals and Applicant Tracking Systems (ATS) to source and manage over 1,000 candidates, analysing data to identify sourcing trends, which increased sourcing efficiency by 35%. • Produced and presented HR analytics reports through PowerBI, visualizing data on job openings, candidate performance, and hiring outcomes, which resulted in a 25% improvement in recruitment strategy effectiveness. • Collaborated with hiring managers and team leads to understand staffing needs, implementing data-driven recruitment strategies that improved team satisfaction with new hires by 20%.
Human Resources Analyst at Collabera, Sep 2021 - Mar 2023 · 1 yr 7 mos, Managed analytics for 10+ technical roles weekly, improving time-to-fill by 25% through data-backed tracking and reporting. Built Power BI dashboards that reduced cost-per-hire by 20% and improved candidate quality by 15%. Analyzed over 1,000 candidate profiles using ATS data, increasing sourcing efficiency by 35%. Created and presented HR insight reports that improved strategy effectiveness and offer acceptance rates by 10%. Partnered with business leaders to translate recruitment data into actionable workforce strategies.
HR Data Analyst (Talent Specialist) at Collabera, Sep 2021 - Oct 2022 · 1 yr 2 mos, India, Collabera is a global digital solutions company providing software engineering solutions for the world's most tech-forward organizations in the areas of Engineering, Cloud and Data/AI. With its roots serving the engineering needs of the world's most recognized business in technology, financial services, telecom and healthcare. Collabera today operates across 60 locations in 11 countries, serves 30% of the Fortune 500 and has exceeded the industry growth rate by 3-4x for several years. Collabera is ranked the 9th Largest Information Technology (IT) and professional staffing firms in the U.S., with more than $650 million in sales revenue and a global presence that represents approximately 16,000+ professionals across North America, Asia Pacific and Europe. We support our clients with a strong recruitment model and a sincere commitment to their success, which is why more than 90% of our enterprise clients rank us among their top three staffing suppliers by performance. We are committed to exceeding our clients’ needs, while maintaining a high level of employee satisfaction. Our employees are the cornerstone of our success and we want to see them grow in their careers. We've created an opportunity-rich environment and promote lifelong learning for our employees. As a result, we have been recognized by Staffing Industry Analysts (SIA) as the “Best Staffing Firms to Work For” – eighth consecutive years since 2012 and one of Forbes "America's Best Professional Recruiting Firms" in 2018. Collabera provides services such as staff augmentation, managed services, direct hire placement, learning solutions and Recruitment Process Outsourcing (RPO) services to Fortune 500 corporations across the globe in industry verticals such as financial services and banking, healthcare, pharmaceuticals, ecommerce, technology/consulting, telecommunications, education, entertainment, energy, retail and more. Visit www.collabera.com to learn more about our latest job openings.
Msc in Data Analytics and Information Systems Management, Berlin , Data Analytics, Arden University
Bachelor of Technology - BTech, Computer Science and Engineering, Presidency University Bangalore
github: https://github.com/tahir17
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