402 Data Driven Solutions jobs in Bengaluru

Role Details:

Roles and Responsibilities:

• Leverage Data to solve key business problems from the clients. They will be working on identifying or creating data driven solutions to solve key problems in the industry.
• Prior experience in financial services or Payment’s industry is preferred
• Excellent Communication and Problem-solving skills
• Ability to architect and design reporting solutions based on client needs.
• Client communication management is preferred.

Mandatory technical skills:

• Intermediate level of Hands-on coding Python/PySpark, SQL – mandatory
• Basic to Intermediate Tableau or Power BI experience – mandatory

Mandatory non-technical skills:

• Excellent Communication and Problem-solving skills
• Ability to generate insights from a given data set.

Company Description

Cyble (YC W21) is a Series B-funded global cyber intelligence start-up supported by notable VC firms and Y Combinator. We provide customers with AI-powered actionable threat intelligence to manage cyber risks effectively. Our team specializes in delivering cutting-edge solutions to help organizations and governments stay ahead of cyber threats.

We're building the next generation of memory-augmented AI systems—agents that
learn
,
recall
, and
reason
like humans. Our mission is to develop long-context AI that's persistent, intelligent, and adaptive. If you're passionate about solving fundamental problems in
memory for AI
, we want to hear from you. At Cyble, you won't just work with toy datasets or academic-scale models—you'll be applying your ideas to
petabyte-scale real-world data
, spanning global threat intelligence, telemetry, signals, and behavioral metadata.

The Role

The
Lead of Data Strategy & Alliances
will be responsible for shaping and executing Cyble's global data acquisition roadmap. You'll identify, evaluate, and secure strategic alliances with external providers to expand our intelligence coverage across
people, organizations, locations, and digital infrastructure
.

This role requires a
unique blend of technical expertise, partnership building, and intelligence tradecraft
. You will work closely with our product, engineering, and AI teams to ensure that every acquired dataset drives tangible impact for Cyble's customers.

Key Responsibilities

Data Strategy & Acquisition

• Define and execute the roadmap for acquiring high-value datasets aligned to Cyble's product vision.
• Evaluate and negotiate partnerships, vendor relationships, and ecosystem collaborations.
• Drive seamless integration of external datasets into Cyble's
  AI-native intelligence platform
  .

Alliances & Partnerships

• Build long-term relationships with data providers, intelligence consortiums, and ecosystem partners.
• Structure partnership models that maximize strategic advantage while ensuring compliance.
• Represent Cyble in global forums and industry alliances.

Data Quality & Governance

• Rigorously evaluate datasets for coverage, quality, and freshness.
• Partner with AI and engineering teams to optimize ingestion, normalization, and enrichment.
• Ensure alignment with global privacy regulations (GDPR, CCPA, etc.) and Cyble's internal governance frameworks.

Strategic Impact

• Translate raw external data into
  actionable threat intelligence
  that strengthens Cyble's autonomous AI agents.
• Monitor ROI of external datasets and continuously refine sourcing strategy.
• Contribute to Cyble's
  multi-year AI and intelligence strategy
  through data-driven insights.

Qualifications

• 7+ years of experience in
  data strategy, acquisition, or ecosystem partnerships
  .
• Strong understanding of
  data ecosystems
  (people, organizational, location, infrastructure).
• Proven ability to structure and negotiate
  strategic partnerships or vendor agreements
  .
• Familiarity with
  cyber threat intelligence, SaaS, or AI ecosystems
  .
• Deep knowledge of
  data governance, compliance, and privacy frameworks
  .
• Excellent technical, analytical, and communication skills with the ability to engage both executives and engineers.

Why Join Cyble?

• Lead the
  data backbone of one of the fastest-growing AI-native security platforms
  .
• Shape the intelligence ecosystem behind
  autonomous security agents
  .
• Collaborate with a global team at the forefront of
  cybersecurity and AI innovation
  .
• Competitive global compensation, benefits, and opportunities for leadership growth.

Experience- 6 to 10 Years

Location-Bangalore, Mumbai, Gurgaon, Pune, Mumbai, Hyderabad

Required Skills-

• +5 years experience in a consulting/industry role with utilities exposure delivering data driven capabilities and solutions.
• 3+ years of implementation experience in Asset Investment Planning tools (IBM Maximo/APM, Copperleaf, SAP IAM, Bentley APM, Aveva APM, Infor APM, GE Predix).
• 2+ years experience in designing and utilizing analytic solutions in enterprise- wide organizations or in a role defining data architecture for a cloud native solution or journey to cloud
• Experience guiding and managing a team of practitioners to execute data and analytics solutions, preferably both onshore and offshore

About This Role
Wells Fargo is seeking a Senior Quantitative Analytics Specialist

In This Role, You Will

• Perform highly complex activities related to creation, implementation, and documentation
• Use highly complex statistical theory to quantify, analyze and manage markets
• Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
• Utilize structured securities and provide expertise on theory and mathematics behind the data
• Manage market, credit, and operational risks to forecast losses and compute capital requirements
• Participate in the discussion related to analytical strategies, modeling and forecasting methods
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Required Qualifications:

• 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Think critically to identify and prevent risk in data, solutions, and procedures.
• Perform root-cause analysis using Java and python on data issues and drive implementation for remediation.
• Perform reconciliations to source (or system of record) and highlight anomalies.
• Perform various complex analytics activities related to solution design on data solutions.
• Ability to prototype, design or develop automated solutions to business problems.
• Ability to take initiative, identify inefficiencies and opportunities and implement change using python and Java.
• Ability to manage process improvement initiatives to optimize operational effectiveness and efficiencies.
• Provide analytical support for evaluating, implementing, monitoring, and executing data strategy and execution solutions.
• Work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability and respect and partnering skills are important.
• Partnership with Technology teams to debug, enhance and improve the capabilities of the new strategic valuation, risk, and Market Data Platforms using Java and python.
• Integration of various data inputs to pricing and risk analytics libraries in collaboration with other quant teams.
• Consistently deliver high-quality software and documentation in an Agile SDLC

Job Expectations:

• Use quantitative and technological techniques to solve complex business problems.
• Masters or above in quantitative disciplines like Computer Science/Finance
• Experience working in similar role dealing with Python/Java
• Strong analytical skills with ability to draw conclusions and translate findings from data.
• Possess strong Java Functional and Python programming skills with experience in working with analyzing and interpreting large datasets and data manipulation using Java Lambda expression, Java evaluators, Immutability, and Python NumPy, Pandas, SciPy and Scikit modules.
• Participate in complex software design & development activities within an Agile environment.
• Ability to develop and drive a project from inception to delivery.
• Experience developing Enterprise scale software platforms.
• Meet deliverables while leveraging solid understanding of policies, procedures, and compliance requirements.
• Show your hands-on coding experience of functional programming in git-hub.
• Quant or financial experience or the keen to learn them.

Posting End Date:
27 Aug 2025

• Job posting may come down early due to volume of applicants.

We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants With Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment And Hiring Requirements

• Third-Party recordings are prohibited unless authorized by Wells Fargo.
• Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Reference Number
R-

Company Description

Cyble (YC W21) is a Series B-funded global cyber intelligence start-up supported by notable VC firms and Y Combinator. We provide customers with AI-powered actionable threat intelligence to manage cyber risks effectively. Our team specializes in delivering cutting-edge solutions to help organizations and governments stay ahead of cyber threats.

We’re building the next generation of memory-augmented AI systems—agents that learn , recall , and reason like humans. Our mission is to develop long-context AI that’s persistent, intelligent, and adaptive. If you’re passionate about solving fundamental problems in memory for AI , we want to hear from you. At Cyble, you won’t just work with toy datasets or academic-scale models—you’ll be applying your ideas to petabyte-scale real-world data , spanning global threat intelligence, telemetry, signals, and behavioral metadata.

The Lead of Data Strategy & Alliances will be responsible for shaping and executing Cyble’s global data acquisition roadmap. You’ll identify, evaluate, and secure strategic alliances with external providers to expand our intelligence coverage across people, organizations, locations, and digital infrastructure .

This role requires a unique blend of technical expertise, partnership building, and intelligence tradecraft . You will work closely with our product, engineering, and AI teams to ensure that every acquired dataset drives tangible impact for Cyble’s customers.

Data Strategy & Acquisition

• Define and execute the roadmap for acquiring high-value datasets aligned to Cyble’s product vision.
• Evaluate and negotiate partnerships, vendor relationships, and ecosystem collaborations.
• Drive seamless integration of external datasets into Cyble’s AI-native intelligence platform .

Alliances & Partnerships

• Build long-term relationships with data providers, intelligence consortiums, and ecosystem partners.
• Structure partnership models that maximize strategic advantage while ensuring compliance.
• Represent Cyble in global forums and industry alliances.

Data Quality & Governance

• Rigorously evaluate datasets for coverage, quality, and freshness.
• Partner with AI and engineering teams to optimize ingestion, normalization, and enrichment.
• Ensure alignment with global privacy regulations (GDPR, CCPA, etc.) and Cyble’s internal governance frameworks.

Strategic Impact

• Translate raw external data into actionable threat intelligence that strengthens Cyble’s autonomous AI agents.
• Monitor ROI of external datasets and continuously refine sourcing strategy.
• Contribute to Cyble’s multi-year AI and intelligence strategy through data-driven insights.

• 7+ years of experience in data strategy, acquisition, or ecosystem partnerships .
• Strong understanding of data ecosystems (people, organizational, location, infrastructure).
• Proven ability to structure and negotiate strategic partnerships or vendor agreements .
• Familiarity with cyber threat intelligence, SaaS, or AI ecosystems .
• Deep knowledge of data governance, compliance, and privacy frameworks .
• Excellent technical, analytical, and communication skills with the ability to engage both executives and engineers.

• Lead the data backbone of one of the fastest-growing AI-native security platforms .
• Shape the intelligence ecosystem behind autonomous security agents .
• Collaborate with a global team at the forefront of cybersecurity and AI innovation .
• Competitive global compensation, benefits, and opportunities for leadership growth.

Location: Bangalore,HSR

CTC Range: 45 to 55 LPA or depends on last drawn, whichever is lower as per market standards

About Us

We are a high-growth startup building products at scale that impact millions of users daily. As we prepare for the next phase of growth, data will be at the heart of every decision — powering product, marketing, operations, and finance. We are looking for a Director of Analytics to lead the charge in shaping our data strategy, building scalable infrastructure, and creating a high-performing analytics organization.

Role & Responsibilities

As the Director of Analytics, you will:

• Lead the next generation of our Data Mart: Redesign and optimize data models to support large-scale analytics and faster decision-making.
• Define the tools & frameworks for data creation, transformation, and consumption across the company.
• Build unified data views: Integrate behavioral and transactional data into structured, query-optimized flat tables that support diverse analytics use cases.
• Own analytics across mobile, web, marketing, product, and operations data streams, ensuring consistent data definitions and scalability.
• Partner with product, marketing, CRM, operations, and finance teams to ensure data is democratized and actionable.
• Establish data governance, quality standards, and best practices for the org.
• Drive adoption of self-service analytics and empower teams with the right dashboards, reporting, and insights.
• Introduce and scale ML-driven insights: Collaborate with product and engineering to enable use cases like personalization, predictive modeling, and anomaly detection.
• Build and mentor a cross-functional analytics team spanning business/operations analytics, marketing/CRM analytics, and product/finance analytics.
• Partner with engineering leadership to ensure scalability, reliability, and efficiency of the data infrastructure.

What We’re Looking For

• Experience: 8+ years in data & analytics leadership, with proven success in building data marts and defining enterprise-wide data consumption strategies.
• Strong track record of running analytics across mobile, web, marketing, product, and operations data ecosystems.
• Deep technical expertise in data modeling, flat table structures, and query optimization for large-scale systems.
• Hands-on experience with both behavioral and transactional data, and integrating them into a single analytics layer.
• Strong knowledge of modern data stack (SQL, ETL/ELT, cloud data warehouses like Snowflake/BigQuery/Redshift, BI tools like Looker/PowerBI/Tableau).
• ML Competency: Familiarity with machine learning workflows (data pipelines for ML, feature engineering, model monitoring) and ability to guide data scientists in building predictive/ML models.
• Proven ability to build and scale analytics teams, with experience in functions such as business/operations, marketing/CRM, and product/finance analytics.
• Strong business acumen — ability to translate data into actionable insights for growth, retention, and efficiency.
• Excellent stakeholder management and communication skills, comfortable influencing at the CXO level.

KPIs / Success Metrics

Success in this role will be measured by:

• Data Infrastructure & Scale
• Launch of next-gen data mart within defined timelines.
• Reduction in data processing and reporting times (e.G., <
  5 mins refresh for key dashboards).
• Uptime and reliability of data pipelines and consumption layers.
• Adoption & Impact
• % of org actively using self-service analytics tools.
• Increase in cross-team usage of standardized data views (product, marketing, finance, operations).
• Reduction in ad-hoc analytics requests due to robust self-service solutions.
• Data Quality & Governance
• % improvement in data accuracy and consistency across sources.
• Establishment and adoption of data governance frameworks.
• Team & Leadership
• Successful hiring and scaling of a multi-disciplinary analytics team.
• Retention and growth of top talent within the analytics function.

Why Join Us?

• Opportunity to own the analytics vision of a company that is scaling rapidly.
• Build the next-gen data mart and analytics layer from scratch — a rare chance to define the foundation for years to come.
• Work on high-volume, high-velocity data across mobile, web, marketing, product, and operations.
• High visibility role, directly collaborating with founders and leadership.
• Build a world-class analytics team and shape the culture of data-driven decision-making

Reach out to for a quick turnaround!

Who are we?

Whatfix is a leading global B2B SaaS provider and the largest pure-play digital adoption platform (DAP). Whatfix empower organizations to maximize the ROI of their digital investments by tailoring it for the needs of each unique user.

Spearheading the category with serial innovation and unmatched customer-centricity, Whatfix is the only DAP innovating beyond the category. Their product suite offers three powerful tools: Digital adoption to help users right within any software, no-code Product Analytics to uncover and resolve adoption gaps, and Mirror for application simulation, driving safe, hands-on learning in software replicas.

The company has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40+ countries.

Customers: 700+ enterprise customers, including 80+ Fortune 500 companies such as Shell, Schneider Electric, and UPS Supply Chain Solutions.

Investors: A total of ~$270 million USD has been raised as yet. Most recently Series E round of $125 Million USD led by Warburg Pincus, with participation from existing investor SoftBank Vision Fund 2. Other investors include Cisco Investments, Eight Roads Ventures (A division of Fidelity Investments), Dragoneer, Peak XV Partners, and Stellaris Venture Partners.

Whatfix’s leadership is consistently recognized across top industry analysts and business rankings:

• Only DAP to be recognized as a “Leader” across various DAP reports for the past 5+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group.
• With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the “Top 50 Indian Software Companies” as per G2 Best Software Awards.
• Named a Gartner Customers’ Choice for DAP for the second year in a row (2024 and 2025)—the only vendor in the market to earn this distinction consecutively.
• We also boast a star rating of 4.6 on G2 Crowd, 4.5 on Gartner Peer Insights, and a super-high CSAT of 99.8%
• Stevie Award winner in the category (Bronze): Customer Service Department of the Year – Computer Software - 100 or More Employees.
• Won the 2025 AI
• Breakthrough Award in the Overall AI-based Analytics Solution of the Year category
• Winner of the ISG Paragon Innovation Award in partnership with Sophos (customer) for the EMEA region and finalist in the Transformation Award category.
• RemoteTech Breakthrough Awards winner for “Software Asset Management Solution of the Year”

These recognitions are matched by business performance:

• Highest-Ranking DAP on 2023 Deloitte Technology Fast 500™ North America for Fourth Consecutive Year
• Listed on the Financial Times & Statista's High-Growth Companies Asia-Pacific 2025 list.
• Won the Silver for Stevie's Employer of the Year 2023 – Computer Software category and also recognized as Great Place to Work
• Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal

Be one of the key Leaders in this awesome journey of building a billion-dollar company!

You will be working in the Data Strategy and Systems team that sits under the Strategy and Operations division under the GCSS Department. The team is focused on data and is involved in multiple projects ranging from report creation to developing machine learning models for forecasting.

Key Responsibilities:

• Lead and manage multiple concurrent data-driven projects, translating ambiguous business problems into structured analysis and actionable recommendations.
• Drive hands-on data analysis using Google Sheets (advanced formulas, pivots, automation/scripts) and Python (pandas, Jupyter notebooks, visualization).
• Partner with cross-functional stakeholders to define metrics, uncover insights, and build lightweight dashboards or reporting systems.
• Extract, clean, and analyze data from Salesforce and other systems to enable better decision-making.
• Present insights in a clear, narrative-driven manner tailored for non-technical stakeholders, driving alignment and action.
• Apply project management best practices to bring structure, clarity, and focus to data initiatives.
• Identify inefficiencies in reporting and analytics processes, propose scalable solutions, and lead tool evaluation or rollouts.
• Guide junior analysts or vendors, ensuring analytical rigor and business alignment.

Qualification Criteria:

• 5+ years of experience in analytics, project management, or related roles in SaaS companies.
• Prior startup experience preferred – comfortable with ambiguity, multiple hats, and rapid execution.
• Advanced proficiency in Google Sheets (complex formulas, pivots, conditional logic, scripting/automation).
• Hands-on experience with Python for data analysis (pandas, visualization, Jupyter Notebooks).
• Strong business intuition — ability to connect numbers to business impact and ask the right questions.
• Proven track record of stakeholder collaboration across teams to define metrics, prioritize, and deliver insights.
• Excellent written and verbal communication skills — ability to tell a clear story to both technical and non-technical audiences.
• Familiarity with lightweight automation (Google Apps Script, JavaScript) and Salesforce data structures is a plus.

Perks & Benefits (India) :

• Best-in-class medical insurance coverage
• Free lunch & dinner buffet
• Doorstep cab drop facility
• Education sponsorship
• Internal job transfer & global mobility programs
• Scope to represent Whatfix at global events
• We also provide uncapped incentives, bonus plans and opportunities to employees (especially those in GTM teams) to travel to meet our global customers

Note:

• We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values - Customer First;
  Empathy;
  Transparency;
  Fail Fast and scale Fast;
  No Hierarchies for Communication;
  Deep Dive and innovate;
  Trust, Do it as you own it;
  
• We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status
• At Whatfix, we deeply value collaboration, innovation, and human connection. We believe that being together in the office five days a week fosters open communication, strengthens our sense of community, and accelerates innovation—ultimately helping us achieve our goals more effectively. At the same time, we recognize the importance of flexibility in balancing personal and professional priorities. To support this, we offer the option to work from home up to two days per month.

In any situation that requires additional flexibility, we’re open to considering exceptions on a case-by-case basis to ensure you’re supported in managing both work and life seamlessly.

Data Architect

Key Responsibilities

• Design architectures for modern ecosystems (Data Lakes, Mesh, Fabric) which drives the long-term strategy for LRL Data.
• Embed pharma-specific standards (CDISC, FHIR, HL7, Allotrope, etc.) into designs.
• Drive governance, lineage, and compliance via MDM and quality frameworks.
• Influence leadership and stakeholders on data strategy and best practices.
• Lead large-scale data transformation, ETL, and pipeline design.
• Architect and maintain enterprise data models (relational, dimensional, big data).
• Partner with solution architects, business SMEs, and engineering teams to design conceptual, logical, and physical models that align with pharma standards and governance.
• A major focus will be building data products and pipelines that power critical decisions across Clinical domains.

Required Expertise

• 8+ years in large-scale data transformation and architecture.
• 5+ years in data modelling across relational, dimensional, and big data.
• Strong knowledge of pharma data (Clinical, Regulatory, CMC).
• Experience with cloud platforms (AWS, Azure, GCP) and tools (Erwin, ER/Studio, Oracle, Redshift, PostgreSQL) and other Data Platforms - Snowflake, Databricks etc.
• Strong grounding in Data Governance, MDM, and compliance frameworks.
• Proven ability to design secure, scalable, interoperable data solutions.

Preferred Skills

• AI/ML integration for predictive analytics.
• Deep understanding of pharma data privacy, security, and regulatory compliance.
• Ability to bridge strategy and execution in complex organizations.

Job Summary: This position is responsible for managing data management function, data reconciliation, data analysis, periodical reports preparation and presentation. To maintain good relations with the corporate, clients, TPA and insurance companies for the smooth functioning of Endorsements/policies.

Roles & Responsibilities:

- To ensure data management (collection, collation, reconciliation and uploading) of all clients and policies in the portal on time with 100% accuracy.

- Responsible for gathering, collating, storage, preparing required reports as per requirement for business.

- Developing reports as per business requirements.

- To maintain TAT of Addition, Deletion, corrections in endorsement.

- To conduct quantitative/qualitative data analysis on large data using different Excel tools.

- Intimation of Monthly data of client to insurer post QC and calculation.

- Follow up with insurer for closure of endorsements within TAT period.

- To Construct forecasts, Predictions and recommendations based on the Existing Policy Terms.

- To prepare and present reports monthly, quarterly, and as requested with issues, observations or outcomes specified.

Desired profile/who should join:

- Bachelor’s degree particularly from any background, General Insurance certifications will be an added advantage.

- Should have minimum of 2-3 years of experience in General Insurance industry (Insurance Company/Brokers/TPA).

- Should have minimum of 2-3years of experience in handling data management portal preferably “SAIBA”.

- Should have strong communication skills both verbal and written.

- Should be strong in MS-Office.

- Should be a good team player.

- Demonstrates good judgment in selecting methods and techniques for obtaining solutions.

- Should possess strong Communication skills and must have good negotiation skills.