Job Closed

This listing is no longer active.

Financial Data Analyst, Development Operations Programmer

Location

United States

Posted

120 days ago

Salary

$125K - $150K / year

Seniority

Senior

Bachelor DegreeEnglish

Job Description

Financial Data Analyst, Development Operations Programmer

Ascent CFO Solutions

• Work directly with clients to assess, restructure, and improve financial data to redesign them into intuitive, usable, and effective solutions • Perform FP&A-style analysis using Excel, Google Sheets, and Power Query • Build and maintain complex financial models, including robust cash flow forecasting tools and multi-source spreadsheet systems • Clean, transform, and normalize financial data for reporting and analysis • Apply strong accounting knowledge to ensure data aligns correctly across P&L statements, balance sheets and cash flow models • Design and build internal tools and systems to support client delivery and internal workflows • Develop and maintain spreadsheet-based systems with advanced logic and automation • Write and maintain Google Apps Script • Build and support API-based integrations and data connections • Automate data flows between systems and spreadsheets • Integrate and experiment with AI tools (including Gemini) • Serve as a Power BI developer supporting client reporting needs • Help maintain and evolve our Power BI infrastructure, ensuring data models, refresh processes, and reporting standards remain reliable and scalable.

Job Requirements

  • Advanced Excel and Google Sheets skills, including the ability to create and use LAMBDA functions for custom, reusable formulas, complex spreadsheet modeling, and automation.
  • Strong experience with Power Query (Excel or Power BI) and working knowledge of Power BI, including building data models and preparing data for reporting.
  • Must have an understanding of accounting and financial data, including how P&L, balance sheets, and financial statements interrelate.
  • Experience cleaning, transforming, and structuring real-world (often messy) financial data
  • Ability to independently evaluate data structures and propose better solutions
  • Google Apps Script or JavaScript API integrations and data connectivity

Benefits

  • W2 Position with employee health, dental and vision insurance
  • 401K match
  • Quarterly stipend towards educational or professional development
  • Technology stipend
  • Paid sick time, holiday time & volunteer time
  • Bonus/commission eligibility
  • Mentoring opportunities

Related Categories

Related Job Pages

More Data Analyst Jobs

GREEN LIGHTNING CANNABIS is on a mission to elevate the cannabis experience, focusing on meticulous cultivation, innovative craftsmanship, and an unwavering commitment to quality. We pride ourselves on our sustainable practices, nurturing each plant with care to ensure potency, purity, and consistency in every batch. As we continue to grow in the alternative medicine industry, we are currently seeking a skilled Data Analyst who will play a pivotal role in driving our data-driven decision-making processes. The ideal candidate will possess strong analytical skills to interpret complex datasets, provide insights to enhance our operational efficiencies, and support our commitment to delivering exceptional products to our customers. As part of our team, you will be integral in managing data related to cultivation, production, sales, and customer experiences, ultimately contributing to our goal of being a leader in the cannabis sector while upholding our values and sustainability initiatives. If you are passionate about data analysis and the potential of the cannabis industry, we would love to hear from you and explore how you can make a difference at GREEN LIGHTNING CANNABIS. Responsibilities - Collect, analyze, and interpret data to support business objectives. - Develop and maintain data visualizations and dashboards that highlight key performance indicators. - Collaborate with production and sales teams to understand data needs and provide analytical support. - Identify trends, patterns, and insights within the data that can inform strategic decisions. - Prepare and present reports to stakeholders, highlighting findings and recommendations. - Monitor data quality and integrity, ensuring accuracy in all analyses. - Conduct ad-hoc analyses as required to address specific business questions and challenges.

New Jersey
Job Closed
CreatorIQ logo

Marketing Data Analyst

CreatorIQ

The most trusted software to unify and power advanced influencer marketing for the world’s most innovative enterprises

Data Analyst120 days ago
Full TimeRemoteTeam 201-500Since 2014H1B Sponsor

• Support data-based marketing content • Receive, triage, and execute on both recurring and ad hoc requests made to the Marketing team for insights leveraging CreatorIQ’s proprietary data for external use. • Understand CreatorIQ’s data and data systems • Utilize internal proprietary software and database query tools to extract relevant metrics and datasets on demand. • Communicate and work across teams • Keep various teams and stakeholders consistently informed as to your progress on time-sensitive, high-leverage deliverables.

Philippines
₱944.6K - ₱1,298.8K / year
Job Closed
OtherRemoteTeam 51-200H1B No Sponsor

• Provide a variety of complex data analysis, reporting and automation • Validate, organize, and analyze data to generate meaningful insights • Build scalable, flexible data models • Conduct ad-hoc analyses and present results clearly • Create insightful data visualizations and compelling data views • Communicate with stakeholders in a professional manner • Work in a large, enterprise environment with cross functional teams

United States
$110K - $125K / year
Job Closed
Splash Financial logo

Data Analyst – Contract

Splash Financial

Splash Financial has developed a digital lending platform and worked to become a “one-stop shop” for people to compare loan offers. As an employer, the company has been known t

Data Analyst120 days ago

• Create and maintain a shared data definition for key business and product concepts to ensure alignment between Engineering and business teams. • Document and socialize metric definitions, entity definitions, and core logic. • Document each dataset and its purpose. Capture key metadata: primary identifiers, join keys, refresh cadence, source system/vendor, and known limitations. • Support critical dashboards and the underlying data models by confirming data flows, identifying nuances, and validating logic with Engineering. • Create and maintain dashboards that monitor metrics across third-party products/vendors. • Assist with UAT by creating comparison queries, validating outputs across systems, and investigating discrepancies. • Inventory existing datasets and group them into clear subject areas (e.g., applications, servicing, marketing). • Partner with Product to convert repeat ad-hoc questions into reusable reporting (tables, views, dashboards).

United States
$50 - $60 / hour
Job Closed