Senior Data Analyst at Harness

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

0.0

Posted On

26 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fraud Analysis, Bot Detection, Abuse Detection, Data Processing, Pyspark, SQL, Data Analysis, Workflow Orchestration, Airflow, ML Solutions, Algorithms, Software Design, Debugging, Agile Development, Stakeholder Influence

Industry

Software Development

Description

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 14 offices and 25 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster. Position Summary As we scale, we are hiring a Bot & Abuse Analyst to own operationalization of Bot & Abuse Protection customers and drive their success. This is a high-ownership, high-visibility role at the intersection of fraud analytics, customer engagement, and product enablement. The Bot & Abuse Analyst will: Work with customers to uncover their pain points and abuse patterns Recommend and optimize risk algorithms balancing fraud prevention and customer experience Influence model improvements through structured analysis and real-world feedback Leverage AI to uncover novel bot & abuse patterns on the customer’s traffic Build ML pipelines for custom detection logic to stop attacks Support automation of existing detection workflows Own POV(Proof Of Concept) outcomes Act as the analytical bridge between Customer Success, Data Science, and Engineering Serve as the feedback loop between customers and product, helping shape the product’s efficacy Proactively suggest generic novel algorithms that can detect abuse patterns across customers Own the Data Science conversation with customers during QBRs This role is ideal for someone with strong fraud domain knowledge (ATO, scraping, carding, bot abuse) who enjoys deep analytical work and customer-facing impact. Key Responsibilities You will play a key role in enabling the following workflow: CS → Onboarding Request → Traffic Analysis → Policy Recommendations → DS Review → Activation → Monitoring Over time, this process will increasingly be automated — and you will help design and operationalize that automation. Traffic Discovery & Abuse Investigation Analyze customer traffic to identify abuse vectors and attack patterns Perform deep investigations into bot behavior and fraud signals Detect emerging abuse use cases across traffic streams Identify instrumentation or visibility gaps affecting detection quality Partner with Data Science to convert findings into structured problem statements Customer Onboarding & Detection Enablement Analyze incoming traffic during customer onboarding Assess suitability for existing detections Identify data visibility gaps and recommend improvements Generate policy configuration recommendations (manual → assisted → automated over time) Validate detection efficacy and iterate based on performance feedback Custom Policy Strategy (POVs & High-Touch Engagements) Diagnose customer-specific abuse cases during POVs Identify which variant of known attacks (e.g., ATO variations) is active Design bespoke policy logic where out-of-the-box models are insufficient Validate detection efficacy with customers and refine iteratively Advise on traffic visibility strategies during sampling constraints Monitoring, Validation & Efficacy Management Own recurring validation workflows (daily/weekly checks) Monitor configured policies for efficacy drops Investigate detection drift and performance degradation Collaborate with DS (solutioning) and Engineering (failures/errors) to resolve issues Automation-First Mindset Help define automated workflows for policy recommendations, efficacy validation, Instrumentation gap detection, etc. Collaborate with Engineering to productionize repeatable analyses Transition operational insights from manual → semi-automated → self-serve About You A desire to build products that solve complex technical problems for end users 5–8+ years experience in: Fraud analysis / Bot detection / Abuse detection. You have experience working with large-scale data processing systems. Experience analyzing high-volume traffic datasets using Pyspark / similar distributed computing frameworks Strong SQL + data analysis capabilities Familiarity with workflow orchestration tools (e.g., Airflow) Hands-on experience with building end-to-end ML solutions is an added plus Solid foundation in algorithms and software design with strong analytical and debugging skills Comfort in working in short, agile, iterative development cycles Entrepreneurial spirit, priding yourself on getting things done with a high level of quality Proven ability to influence client-side stakeholders with clear, data-driven recommendations B.Tech. / B.E. / MTech. / M.S. in Computer Science Work Location This role will be out of our Bangalore, India office. What You Will Have At Harness Experience building a transformative product End-to-end ownership of your projects Competitive salary Comprehensive healthcare benefit Flexible work schedule Quarterly Harness TGIF-Off / 4 days Paid Time Off and Parental Leave Monthly, quarterly, and annual social and team building events Monthly internet reimbursement Harness in the news: Accelerating Our Mission to Bring AI to Everything After Code Goldman Sachs leads investment in software delivery startup Harness at $5.5 billion valuation How Harness runs 16 “startups within a startup” at scale | Jyoti Bansal Harness Research Shows AI Visibility Crisis Fueling Security Nightmare Harness has been named to the Inc. Power Partner list for software delivery success All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. Note on Fraudulent Recruiting/Offers We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at security@harness.io. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.

Responsibilities

This role involves operationalizing Bot & Abuse Protection for customers by analyzing traffic, recommending and optimizing risk algorithms, and influencing model improvements through structured analysis and real-world feedback. Key duties include investigating abuse patterns, enabling detection workflows, managing custom policy strategies during Proofs of Concept, and owning validation and efficacy management.