Financial Data Analyst

Calance; Los Angeles (CA); Hybrid; USD 140,000 - 160,000; Full time

Job summary

Calance is looking for a Sr. Financial Data Engineer in Los Angeles who will work onsite 5-6 days a month. This role focuses on financial analysis and data engineering, involving financial forecasting, reporting, and visualization using tools like Tableau and Power BI.

The ideal candidate will have at least 6 years of relevant experience, a bachelor’s degree, and strong skills in SQL. The position offers a flexible schedule, allowing for hybrid work arrangements.

Qualifications

• Minimum of six (6) years of experience with SQL and financial data analysis.
• Strong knowledge of financial analysis and data engineering.
• Proficiency in data visualization tools like Tableau and Power BI.

Responsibilities

• Perform complex data analysis and financial forecasting.
• Collaborate with stakeholders to align data projects with business objectives.
• Develop and deliver data analysis initiatives to support financial decision-making.

Skills

SQL

Tableau

Power BI

Data Analysis Expressions (DAX)

Python

Education

Bachelor's degree in computer science, data science, mathematics, economics, finance, or a related field

Tools

Tableau

Power BI

Job description

Title: Sr. Financial Data Engineer - onsite 5-6 days a month

Salary: $140-$160 K per annum

• We’re ideally looking for a candidate with a financial analyst and data engineering background, someone with a financial analyst background and business school experience, or someone with data engineering experience in the big 4.
• This role will be about 80% understanding financial analysis, and 20% technical—they will be the point of contact for our financial information center (FIC) team, and will do a lot of financial analysis and modeling as well as leveraging the IT tools to suit the FIC team’s needs.
• The Senior Financial Data Engineer is an integral part of Client’s Technology and Information Services team. This role will be responsible for developing and delivering data analysis initiatives, including data modeling, financial forecasting, reporting, visualizations, and ad hoc research to support financial decision‑making, while designing and maintaining data visualizations using Tableau and Power BI, and applying storytelling techniques to translate complex analyses into clear, actionable insights that meet business needs. This role will be located in thier Global Services Office in downtown Los Angeles.

Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence.

Responsibilities & Qualifications

Other key responsibilities include:

• Performing complex data analysis and financial forecasting to derive actionable insights, while ensuring data accuracy, consistency, and completeness
• Applying an understanding of financial data to proactively identify opportunities where enhanced analytics can add significant value to the organization
• Collaborating with stakeholders, particularly the Financial Insights & Consulting (FIC) team, to develop detailed requirements for data projects and ensure alignment with business objectives
• Advocating for the adoption of dashboards and predictive models by demonstrating their value in data‑driven decision‑making and strategic planning
• Working closely with firm management, senior leadership, and various departments, including the FIC team, to support data‑driven initiatives and optimize reporting tools
• Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that client retains

We’d love to hear from you if you:

• Possess strong knowledge of Structured Query Language (SQL) and proficiency in Tableau and Power BI, including the use of Data Analysis Expressions (DAX) for complex calculations, measures, and analytical modelling, along with familiarity with Python and other programming languages
• Demonstrate the ability to perform complex data analysis and financial forecasting, and to derive actionable insights
• Exhibit excellent verbal and written communication skills, with the ability to effectively convey data findings and collaborate with stakeholders at all levels

And have:

• A bachelor’s degree in computer science, data science, mathematics, economics, finance, or a related field, preferably
• A minimum of six (6) years of experience with Structured Query Language (SQL), data visualization, complex data analysis, and financial data analysis
• Proven experience with Tableau, Power BI, and other data visualization tools