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A Master Data Governance Professional is sought after to drive data quality and accuracy in the organization.

This role entails leading the implementation and enhancement of SAP MDG solutions, including data modelling, data stewardship, and workflow management.

• Develop and execute data governance strategies and roadmaps to ensure data integrity and consistency across the organization.
• Manage the integration of SAP MDG with other SAP modules (e.g., SAP S/4HANA, SAP ERP) and third-party applications, ensuring seamless data flow and consistency.
• Implement and manage data quality checks, validations, and cleansing processes to ensure high standards of data accuracy and reliability.

Qualifications & Requirements

• 8+ years of experience in SAP MDG, with a proven track record of successful project implementations and data governance initiatives.
• Bachelor's degree in information technology, Computer Science, Business Administration, or a related field. Advanced degrees or certifications in SAP MDG or related areas are beneficial.
• Technical Skills:
• Extensive knowledge of SAP MDG modules (e.g., MDG-F, MDG-M, MDG-C).
• Proficiency in SAP configuration and customization related to master data.
• Strong understanding of SAP integration points with other SAP modules and third-party systems.
• Experience with data modelling, data quality management, and data migration.

Key Responsibilities

• Lead and mentor teams to achieve project goals.
• Manage stakeholder expectations and drive project success.
• Articulate complex concepts to both technical and non-technical audiences.
• Address complex data-related challenges effectively.

Benefits

• Opportunities for career growth and professional development.
• Collaborative work environment with cross-functional teams.

We are seeking a visionary Data-Driven Growth Leader who will spearhead our analytics strategy to drive revenue growth and marketing efficiency.

This high-impact role requires a strategic thinker who can build and implement a global analytics ecosystem, partnering with engineering to enhance data pipelines and marts in Snowflake/SQL.

The ideal candidate will establish data governance standards for accuracy and consistency across reports, own end-to-end funnel reporting, and continuously measure campaign ROI.

About this Role:

As a seasoned Data Insights Professional , you will be instrumental in shaping the future of data-driven decision-making across our global organization.

This exciting opportunity will challenge you to build and implement a cutting-edge analytics ecosystem, leveraging advanced techniques and tools to drive business growth and revenue.

The ideal candidate will have a proven track record of success in marketing analytics, with expertise in SQL, Python, and BI/visualization tools. You will be expected to collaborate closely with cross-functional teams, driving strategic initiatives and delivering actionable insights that inform business decisions.

• Key Responsibilities:
• Develop and maintain a global analytics framework, integrating multiple data sources and visualization tools to provide real-time insights.
• Collaborate with engineering teams to enhance data pipelines, ensure data quality, and establish robust governance standards.
• Design and implement data-backed solutions to optimize marketing funnels, identify inefficiencies, and improve ROI.

• Data Strategy & Architecture:
• Build a scalable analytics ecosystem, encompassing data ingestion, warehousing, modeling, visualization, and governance.
• Partner with engineering to integrate data pipelines, ensuring seamless data flows and optimal performance.
• Establish clear data governance standards, ensuring accuracy, consistency, and security across reports.

• Marketing Funnel & Revenue Insights:
• Ownt-end-to-end funnel reporting, including lead generation, pipeline velocity, CAC, ROAS, conversion rates, and payback periods.
• Identify and address inefficiencies in the marketing funnel, designing data-backed solutions with Marketing & Sales leadership.
• Measure campaign ROI, connecting top-of-funnel spend to bottom-line revenue.

• Forecasting & Predictive Modeling:
• Lead global forecasting processes, ensuring accurate pipeline and revenue projections.
• Build predictive models using ML/statistical frameworks to predict ROI, pipeline creation, and campaign outcomes.
• Run scenario simulations to guide marketing spend allocation and growth vs. efficiency trade-offs.

• Applied AI/ML & Advanced Analytics:
• Apply ML/AI frameworks to optimize lead scoring, churn prediction, and customer lifetime value (LTV).
• Automate insights delivery using Python, SQL, and AI APIs.
• Explore advanced use cases: attribution modeling, sentiment analysis, hyper-personalization.

• Business Partnering & Leadership:
• Act as the analytical partner to global Marketing & Sales leadership.
• Presentation of insights in executive-ready, narrative-driven formats.
• Cross-functional collaboration with Finance, Product, and Customer Success to create a holistic growth view.

• Visualization & Self-Serve Analytics:
• Lead the design of real-time executive dashboards (Tableau, Power BI).
• Build scalable, reusable BI assets and empower teams with self-serve analytics.
• Partner with BI engineering to ensure dashboard optimization and performance.

• Ad-Hoc & Strategic Analytics:
• Conduct deep-dive analyses on campaign effectiveness, regional pipeline trends, and sales productivity.
• Deliver rapid-turnaround insights to support C-suite decisions.
• Create benchmarking frameworks against SaaS industry best practices.

Requirements:

• Technical Skills:
• 8+ years in Business Insights, Marketing Analytics, GTM Analytics, or Marketing Operations.
• Advanced proficiency in:
• SQL & Python for data manipulation, automation, and modeling.
• BI & Visualization Tools: Tableau, Power BI (Sigma BI a plus).
• CRM Platforms: Salesforce (campaign analytics, pipeline management).
• Familiarity with MarTech stacks, attribution tools, and marketing automation platforms.
• Experience applying ML/AI for marketing, including lead scoring, churn modeling, and campaign ROI prediction.
• Ability to integrate and analyze large-scale, multi-source datasets across Sales, Marketing, Finance, and Product systems.

• Business Acumen:
• Strong understanding of SaaS GTM models, marketing funnels, CAC/LTV frameworks, and revenue attribution.
• Experience designing and measuring ROI, CAC payback, and LTV models.
• Familiarity with working in US-based multinational SaaS or B2B organizations preferred.

• Leadership & Influence:
• Ability to translate complex data into strategic, executive-ready narratives.
• Proven track record of cross-functional stakeholder management across geographies and cultures.
• Experience influencing decision-making at both operational and strategic levels.

• Personal Attributes:
• Results-oriented, detail-driven, and highly analytical.
• Thrives in fast-paced, high-growth environments with shifting priorities.
• Self-motivated problem-solver with a bias toward action and automation.
• Excellent verbal and written communication skills, with a talent for storytelling with data.

About our organization:

We enable businesses to run AI interviews over voice, video, text, and WhatsApp, and automatically generate high-grade reports for decision-makers.

This is a remote role for a Market Research Manager. The successful candidate will be responsible for:

• Leading AI-powered research projects to deliver fast insights.
• Implementing processes and automation to increase efficiency.
• Providing product vision direction with the founders on our self-serve platform.

You need:

• Data expertise: understand statistical concepts such as z-tests, p-values, and statistics.
• Excellent communication skills: transform complex data into engaging slides and summarize information in messages.
• Tech-forward mindset: experience with LLMs, Qualtrics, Typeform, Tableau, Power-BI, SaaS, or on-prem platforms.
• A strong belief in revolutionizing the consumer insights industry with Gen AI.

Qualifications:

• 1-2 years of full-time market research experience preferably in premier consulting firms or agencies.
• World-class Excel / Google Sheets skills.
• Excellent PowerPoint / Google Slides skills.
• Experience in proposals, sales collateral, and running primary research studies at scale.

We are seeking an experienced leader to head our Data and Integration Operations department.

• The ideal candidate has at least 10 years of experience in people and team management, with a strong background in fintech or financial services.

About the Position

We are seeking an accomplished Data Architect with deep experience in designing, implementing and optimizing modern cloud data platforms. The ideal candidate will expertly leverage Snowflake, Databricks, DBT, Airflow, Python, PySpark and have hands-on exposure to advanced AI/ML and Generative AI (GenAI) solutions in real-world enterprise environments. You will partner with business and tech leaders to deliver scalable innovative data products architectures and analytics capabilities.

Key Responsibilities

• Architect and implement scalable data platforms pipelines and solutions using Snowflake, Databricks, DBT, Airflow, Python and PySpark
• Lead cloud data migration projects designing robust secure and reusable analytics architectures
• Develop and optimize ELT/ETL workflows for batch and real-time processing
• Design dimensional models data lakes data marts and advanced analytics infrastructures
• Oversee and mentor data engineering teams in coding standards CI/CD and best practices
• Integrate AI/ML models and GenAI capabilities into data products and workflows e.g predictive analytics intelligent automation
• Collaborate with business stakeholders to define requirements translating needs into technical architectures
• Manage platform cost optimization data quality/governance and performance tuning
• Evaluate and recommend emerging tech tools and architectures to drive innovation

Requirements

• Bachelor's or Master's degree in Computer Science Data Engineering Information Systems or related field
• 7+ years of professional experience in data architecture engineering or analytics roles
• Advanced hands-on experience with Snowflake (data warehousing modeling optimization)
• Deep expertise in Databricks (Spark ML workflows lakehouse architectures) and PySpark
• Proficient with DBT for data transformation and modeling
• Expert in building robust workflows with Apache Airflow
• Strong programming skills in Python (including data and ML libraries)
• Proven track record implementing AI/ML solutions with at least basic exposure to GenAI (LLMs prompt engineering AI API integration)
• Cloud platform experience (Azure AWS or GCP)
• Excellent problem-solving communication and stakeholder management skills

Necessary Skills

• Experience with Terraform CI/CD for data engineering
• Familiarity with data governance privacy and security best practices
• Prior experience in client-facing solution architect or enterprise delivery roles
• Certifications in Snowflake Databricks Python or cloud platforms
• Published work or demonstrated portfolio of data/AI projects
• Understanding of modern API integration and real-time analytics

Equal Opportunity Statement

We are committed to diversity and inclusivity.

Job Role:

We are seeking an experienced Senior Data Scientist to join our team and play a key role in driving business value through data-driven insights.

• The ideal candidate will have a strong background in machine learning, deep learning, and artificial intelligence techniques and experience with large-scale experimentation and model building.
• They will also be skilled at creating hypotheses, identifying hidden relationships, and constructing new analytics methods using Markov decision process models and healthcare economic models.
• Strong visualization skills and ability to develop reports on results of data analysis is also required.

Key Requirements:

• Bachelor's degree in computer science, data science, or related field.
• 3+ years of professional experience working with large datasets for drawing business insights.

• Professional working knowledge of machine learning; including solving complex business problems, predictive modeling, leveraging both structured and unstructured data sources, relational databases, and SQL.
• Fluent in Python programming.

Preferred Qualifications:

• Master's degree in science, technology, engineering, mathematics, or related field.
• Experience in cloud environments.
• Professional working knowledge of distributed computing and big data technologies such as Spark or related technologies.

This is a unique opportunity to work with cutting-edge technologies and contribute to the growth and success of our organization. If you are a motivated and talented data scientist looking to take your career to the next level, we encourage you to apply for this exciting opportunity.

As a senior data architect, you will play a key role in transforming corporate finance functions by leveraging advanced analytics. You will collaborate closely with high-level stakeholders to craft and implement data strategies in the finance domain, encompassing controllership, financial planning and analysis (FP&A), and group purchasing organization (GPO) use cases.

You will be responsible for designing and delivering scalable analytical solutions using cloud and big data technologies. You will also work with business consultants and product owners to design and implement technical solutions that meet business needs.

Your experience should include conceptualizing and driving end-to-end data and analytics solution architectures from inception to delivery. You should have demonstrated expertise in delivering multiple data solutions and working with extract transform load (ETL) development, SQL Server, Azure Synapse, and related technologies.

Key skills required include a strong technical foundation, experience with data quality management, and a deep understanding of operational dependencies. You should also possess advanced knowledge of software development methodologies and remain current with technology and industry developments.

Job Title: Data Analytics Lead

Experience: 7 to 8 Years

Location: Hyderabad

Role Type: Individual Contributor

About the Role: We are seeking a skilled and experienced Data Analytics Specialist to join our team in Hyderabad. This is an individual contributor role focused on driving data quality, governance, and advanced analytics across a cloud-native environment. The ideal candidate should have strong technical expertise across modern data stacks, excellent problem-solving skills, and a proactive approach to managing enterprisegrade data platforms.

Key Responsibilities:

- Design, develop, maintain data pipelines, data transformation ETL using AWS Glue, AWS EMR, AWS Kinesis, AWS Redshift, Amazon Athena, App Flow platform and services. Language expertise in Python, Spark, and Scala.

- Implement and manage MDM (Master Data Management) strategies to ensure consistent and accurate data across systems.

- Perform data modeling, transformation, and analysis on Snowflake EDW platform on AWS & Azure cloud.

- Define and enforce data governance, data lineage policies, ensuring data accuracy, integrity, and compliance across the organization.

- Conduct data quality (DQ) checks and root cause analysis for data-related issues.

- Collaborate with business stakeholders to translate requirements into analytical solutions and meaningful insights.

- Optimize data architecture and analytics frameworks for performance and scalability in cloud environments.

Required Skills & Experience:

- 7 to 8 years of experience in Data Analytics with a strong focus on cloud-based data platforms.

- Hands-on experience with MDM, Redshift, EMR Cluster, Snowflake, AWS Kinesis, Spark, and Scala. - Deep understanding of Data Governance and Data Quality principles.

- Proficient in handling large volumes of data and building reliable data pipelines.

- Strong analytical and problem-solving skills with the ability to work independently.

- Experience working in an individual contributor role with minimal supervision. Preferred Qualifications: - AWS DA Professional certification(s) / SnowPro

- Exposure to enterprise-grade data strategy projects.

- Familiarity with data catalog tools and metadata management.