Position: Finance Data Analyst\Business Intelligence Specialist
Company: StartupSoft
Category: Data Analyst
Experience required: 5y
English level: fluent

WE ARE: StartupSoft connects top Ukrainian engineers with world-class startups from Silicon Valley and EU. Our developers work directly on the product as an integral part of the startup team.

PROJECT DESCRIPTION: Level Up solves complex challenges at the intersection of finance and data analytics. Primarily serving the Office of the CFO, they help companies modernize their finance and accounting functions by leveraging state-of-the-art data analytics, business intelligence, and financial planning applications.

STACK: Excel, data warehouses (for example, Snowflake, BigQuery), data analytics, and business intelligence tools (for example, Tableau, Power BI, Power Pivot)

STAGE: mother company is in Series A funding, profitable, $65M+ raised;

TEAM: 20 people in total, most are financial & data analytics professionals;

REQUIREMENTS:

Must-haves:
Prior experience developing complex financial models and analyses in Excel (Strong Excel and PowerPoint skills);
Can handle large data sets in a data warehouse (e.g., Snowflake, BigQuery, etc.);
Utilizing data analytics and business intelligence tools (e.g., Tableau, Power BI, Power Pivot, etc.);
The ability to create 3-statement financial models and other financial analyses while also being able to transform complex data sets into drivers and assumptions for those models;
Ability to dive deep into data with a bottoms-up approach, while also having an awareness of the bigger picture and the ability to produce a top-down approach simultaneously;
Ability to evaluate financial and business indicators while also being able to translate and distill data into actionable information to drive results;
Background in corporate FP&A, corporate development, corporate business intelligence, investment banking, consulting, equity research, private equity, and venture capital.

Nice-to-haves:
Ideally, a Bachelor’s Degree in finance, business, economics, or a technical field, such as engineering, math, or computer science. MBA, CFA, or CPA designations are a plus;
Experience in working with planning applications (e.g., Adaptive, Anaplan, Vena, etc.);
Knowledge of programming languages (especially Python and SQL);

Soft skills:
Comfortable with planning, forecasting, and strategic decision-making;
Ability to work independently, think objectively, and interpret meaningful and insightful narratives from both quantitative as well as qualitative data;
Ability to build constructive and effective relationships with a broad and diverse group of business partners, both internal and external;
Being able to work with a US-based team.

RESPONSIBILITIES:
Work as a team member on various consulting engagements with CFOs that typically involve reporting, budgeting, forecasting, and planning in complex data environments;
Construct detailed, assumptions-driven 3-statement financial operating and strategic models, utilizing automation techniques to maintain scalability and repeatability;
Assist with planning and implementation of data engineering projects, leveraging data warehouses, data ETL tools, and scripting languages to construct complete data pipelines for KPI reporting and dashboards that are the key drivers of forecasting models;
Participate and present in weekly update meetings with clients to demonstrate progress towards the pre-defined goals of the engagement.

YOU WILL GET:
Competitive financial reward and other social benefits;
Possibility to work with minor supervision and low-bureaucracy;
Flexible schedule and friendly working atmosphere;
Tight-knit team with an inclusive and transparent culture.