SunnyData

Business Analyst

• Collaborate with clients to understand their business needs and objectives
• Design and develop business architectures that align with clients strategic goals
• Identify opportunities for leveraging data and AI to improve business processes and outcomes
• Collaborate with technical teams to ensure the successful implementation of solutions
• Conduct gap analysis and recommend improvements to existing business processes, including data governance
• Lead workshops and meetings to align stakeholders on project goals and deliverables
• Bridge the gap between business strategy and technical execution, translating complex challenges into scalable data solutions
• Develop accelerators, frameworks, and best practices that elevate our delivery capabilities
• Identify new opportunities and help expand client relationships

Senior Business Analyst, Financial Services

Full-stack Engineer

• Contribute to building exceptional products by combining collaboration, creativity, and a passion for problem-solving.
• Champion sustainable engineering practices, including automated testing (TDD), CI/CD.
• Apply your strong technical foundations across a modern tech stack including Python, Javascript/Typescript, RESTful APIs, Angular, React, Svelte or Express, Docker, Cloud platforms (AWS or Azure).
• Work closely with UI/UX designers to develop and bring to life the best concepts in the world of data, ensuring both usability and technical excellence.

Senior Fullstack Developer

Senior Business Analyst, Healthcare

Solutions Engineer

• Customer Engagement: Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions. In this role you will split your time evenly between billable and pre-sales activity.
• Technical Leadership: Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives.
• Pre-Sales Support: Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings.
• Project Oversight: Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes.
• Solution Design: Architect data solutions, incorporating best practices in data governance, security, and quality.
• Data Analysis: Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes.
• Cross-Functional Collaboration and Leadership : Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments.
• Problem Resolution: Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections.
• Quality Assurance: Test data movement, transformation code, and data components to ensure accuracy and reliability.

Data Solutions Architect – Financial Services

• Customer Engagement: Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions.
• Technical Leadership: Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives.
• Pre-Sales Support: Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings.
• Project Oversight: Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes.
• Solution Design: Architect data solutions, incorporating best practices in data governance, security, and quality.
• Data Analysis: Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes.
• Cross-Functional Collaboration and Leadership: Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments.
• Problem Resolution: Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections.
• Quality Assurance: Test data movement, transformation code, and data components to ensure accuracy and reliability.

Data Solutions Architect – Healthcare, Lifescience

Data Engineer

• You will be part of a team responsible for supporting new and existing customers in their data engineering needs.
• You will guide customers to make the best technical decisions to achieve their goals
• You will actively work across multiple customer accounts which you would need to track and report on their progress.
• You will design, build, and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing /quality solutions.
• You will analyze sources to determine value and recommend data to include in analytical processes.
• You will incorporate core data management competencies including data governance, data security and data quality.
• You will collaborate within and across teams to support delivery and educate end users on data products / analytic environments.
• You will perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
• You will test data movement, transformation code, and data components.

Senior Data Engineer – Healthcare/Lifescience

Technical Project Manager

• Lead the operational cadence of the team, managing logistics and ceremonies to maximize productive time for engineers.
• Translate complex technical discussions into clear decisions and action items, ensuring total alignment between the client and the delivery team.
• Rigorous tracking of dependencies and milestones to maintain delivery momentum and foresee scheduling conflicts.
• Facilitate seamless collaboration between technical and business stakeholders, ensuring the "what" and "why" are clearly understood by all.
• Identify potential blockers early and partner with technical leadership to architect solutions before they impact the timeline.
• Promote a culture of continuous improvement by implementing lightweight agile frameworks that foster transparency without adding bureaucracy.

Risk

• Design and implement data governance frameworks that ensure data quality, security, and compliance.
• Define and implement a data governance strategy that ensures trusted, high-quality, and compliant data.
• Enable business and analytics teams to make better decisions through well-governed data assets.
• Act as a key advisor on data ownership, stewardship, and accountability models.
• Support analytics, data platform, and AI initiatives by ensuring data is reliable, secure, and discoverable.

Data Governance SME – MX

Financial Planning and Analysis

• Manage a portfolio of Financial Services accounts with a focus on "farming" and expansion.
• Own the commercial strategy and negotiations.
• Proactively identify whitespace opportunities across data engineering, advanced analytics, ML/AI, and cloud transformation to drive continued growth.
• Serve as the ultimate point of accountability for client concerns.
• Monitor and document value creation, translating technical wins into clear "customer stories" and business outcomes for stakeholders.
• Build and sustain relationships with C-level executives and senior business stakeholders.

Client Principal, Financial Services

Account Executive

• Collaborate closely with strategic partners to co-sell and deliver high-impact data transformation and AI solutions to enterprise clients.
• Proactively identify and engage prospective clients through research, outreach, and relationship-building.
• Leverage and expand your professional network to generate qualified leads.
• Execute multi-channel business development campaigns including outbound calls, targeted emails, social engagement, and event participation.
• Craft compelling pursuit strategies and tailor sales narratives to win business.
• Maintain rigorous pipeline hygiene and forecasting discipline, regularly updating deal progress and sales metrics.

Account Executive, Financial Services

• You will be part of a team responsible for supporting new and existing customers in their data engineering needs.
• You will guide customers to make the best technical decisions to achieve their goals
• You will actively work across multiple customer accounts, which you will need to track and report on their progress.
• You will build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• You will design data solutions.
• You will analyze sources to determine value and recommend data to include in analytical processes.
• You will incorporate core data management competencies, including data governance, data security, and data quality.
• You will collaborate within and across teams to support delivery and educate end users on data products / analytic environments.
• You will perform data and system analysis, assessment, and resolution of defects and incidents of moderate complexity, correcting as appropriate.
• You will test data movement, transformation code, and data components.

Data Analyst

• Improved decision-making: Translate complex data into clear, reliable, and actionable dashboards
• Performance optimization: Advanced knowledge of DAX, Dataflows, partitioning, and large-scale data modeling
• Standardization and scalability: Implement version control, modeling standards, and scalable design
• Stronger business collaboration: Act as a bridge between technical teams and business stakeholders
• Team development: Support and mentor junior analysts

Data Analyst – Power BI Expertise

• Define and implement a data governance strategy that ensures trusted, high-quality, and compliant data.
• Enable business and analytics teams to make better decisions through well-governed data assets.
• Act as a key advisor on data ownership, stewardship, and accountability models.
• Support analytics, data platform, and AI initiatives by ensuring data is reliable, secure, and discoverable.

Data Governance Architect

• We're looking for a Senior Power BI Data Analyst.
• This role involves working with large datasets, creating clear and actionable reports, and collaborating closely with business teams to drive informed decision-making.
• A proactive mindset and strong communication skills are key.
• Improved decision-making: Translate complex data into clear, reliable, and actionable dashboards that support faster, data-driven business decisions.
• Performance optimization: Advanced knowledge of DAX, Dataflows, partitioning, and large-scale data modeling ensures high-performance reporting and reduced load times.
• Standardization and scalability: Bring structure to BI practices by implementing version control, modeling standards, and scalable design using tools like Tabular Editor and Git.
• Stronger business collaboration: Act as a bridge between technical teams and business stakeholders, aligning data solutions with business needs more effectively.
• Team development: Support and mentor junior analysts, contributing to team growth and raising the overall technical bar.