Key Responsibilities:

• Strategic Data Processing & Validation:
  Assist in creating and executing a strategic plan for efficient data processing and validation, under the direction of senior leadership. Help establish data governance policies to ensure long-term data integrity and scalability across multiple SaaS platforms.

• Data Model Development:
  Contribute to the creation and maintenance of data models for key business platforms (e.g., Salesforce, financial systems). Work closely with senior teams and FP&A to ensure data structures support financial forecasting and scenario analysis.

• Data Pipeline Creation & Optimization:
  Collaborate on the design and optimization of data pipelines that aggregate data from diverse sources. Ensure the data is accurate, accessible, and aligned with reporting needs while following best practices for data quality and governance.

• Automated Data Validation & Issue Resolution:
  Proactively identify and resolve data discrepancies by automating validation processes. Implement tools to monitor and maintain high data quality, reducing manual intervention and ensuring teams have access to accurate, validated data.

• Data Integration & Strategic Support:
  Play a key role in integrating data within platforms like Salesforce, Azure, or AWS, ensuring seamless data flow and consistency across systems. Lead technical efforts on data-centric projects, collaborating with key stakeholders to ensure infrastructure supports evolving business and financial reporting needs.

Qualifications:

• Experience: 3-5 years in data analysis, data modeling, business intelligence, or Salesforce administration with a focus on financial data environments.
• Technical Skills: Proficiency in SQL, with experience in data integration and pipeline tools such as Alteryx, Fivetran, Knime, or similar. Familiarity with Salesforce (including APEX), or other SaaS platforms, is a plus.
• Business Acumen: Strong understanding of financial reporting, metrics, and the ability to work in fast-paced financial or SaaS-driven environments.
• Analytical Skills: Demonstrated ability to create, implement, and maintain scalable data models and solve complex data problems.
• Certifications: Microsoft Certified: Data Analyst Associate, AWS Certified Data Analytics, Salesforce Administrator, or similar certifications are a plus.
• Education: Bachelor's degree in Data Analytics, Information Systems, Finance, or related field, or equivalent experience in data engineering or analytics (3-5 years).
  

Desired Skills and Experience
Key Responsibilities:
Data Processing & Validation Strategy:
Support the creation and execution of a strategic plan for optimizing data processing and validation workflows, collaborating with the CTO and senior leadership. Help define data governance frameworks and quality standards that ensure data integrity and scalability across SaaS platforms.
Data Model Design:
Assist in the development and upkeep of a comprehensive data model across critical SaaS platforms (such as Orion, Salesforce, etc.). Work closely with senior leadership and FP&A to ensure data structures align with forecasting and scenario analysis needs.
Data Pipeline Development:
Contribute to the design, development, and optimization of data pipelines that integrate data from multiple sources. Ensure data is structured and accessible for analysis and reporting, adhering to best practices in data governance to maintain accurate financial metrics across the organization.
Automated Data Issue Resolution:
Identify and resolve data discrepancies by automating validation processes. Implement monitoring tools to maintain high data quality, reducing manual intervention and ensuring teams have access to accurate, validated data.
Data Integration & Strategic Support:
Play a key role in implementing data integrations within Salesforce, Azure, and AWS environments, ensuring smooth data flow and consistency. Act as a technical lead on data-centric projects, working alongside FP&A, the CTO, and CFO to ensure data infrastructure aligns with evolving reporting and strategic needs.
Qualifications:
Experience: 3-5 years in data analysis, Salesforce administration, data modeling, or business intelligence, with a focus on financial data environments.
Technical Skills: Strong SQL proficiency, with experience integrating data via APIs and building data pipelines using tools like Alteryx (preferred), Fivetran, Knime, or Savant Labs. Familiarity with Salesforce (including APEX), Orion, RedBlack, or similar platforms is a plus for ensuring seamless data integration across platforms. Knowledge of BI platforms is advantageous.
Business Insight: Solid understanding of financial reporting and metrics. Experience in finance or SaaS industries is beneficial.
Analytical Expertise: Ability to design, implement, and maintain scalable data structures. Strong problem-solving skills are essential.
Certifications: Microsoft Certified: Data Analyst Associate, AWS Certified Data Analytics, Salesforce Administrator, or other BI platform certifications are a plus.
Education: Bachelor's degree in Data Analytics, Information Systems, Finance, or a related field, or equivalent experience in Data Engineering or Analytics (3-5 years).