Analytics Engineer - Finance
To see similar active jobs please follow this link: Remote Development jobs
The Role
As an Analytics Engineer at Podium, you will help to deepen our understanding of Finance and Billing data at Podium, enabling multiple teams with access to critical data. You will be responsible for the infrastructure that supports all analytics projects, dashboards, reports, and models. Your direct stakeholders will be our internal Revenue Operations and Data Science team as well as the Finance and Accounting teams. You will work closely with talented Data Analysts, Data Engineers, and Data Scientists. The core responsibility requires you to create new data pipelines using SQL and dbt. This role is a balance between a Data Analyst and a Data Engineer. You should be equally comfortable and excited about coding and modeling as you are about mentoring, training, and empowering a team of Analysts and Data Scientists.
Responsibilities:
Design and implement a semantic data warehouse layer on top of our datalake using Snowflake and dbt
Architect data models through SQL
Write documentation for best practices and to record Podium’s data
Follow best practices around version control and mentor Data Analysts and Data Scientists on version control
You're background:
3+ years of work experience SQL and experience with multiple flavors, Snowflake preferred
2+ years of work experience using Git for version control
Exposure to Financial data and familiarity with key metrics such as MRR and churn
Experience using dbt and Snowflake is desirable
Strong drive to organize and document data in a reproducible manner
Ability to understand the business logic for structuring data in a given way while also understanding and overcoming the technical limitations and challenges of implementing the desired data structure
Eagerness to work on development of internal tools, systems, packages, process, and documentation
You have a proven record of providing analyses that have tangible impact on the business
Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics
You are committed to honesty and a diverse and inclusive workplace
Benefits
Open and transparent culture
Life insurance, long and short-term disability coverage
Paid maternity and paternity leave
Fertility Benefits
Generous vacation time, plus three 4-day summer holiday weekends
Excellent medical, dental, and vision benefits
401k Plan with competitive company matching
Bi-annual swag drops with cool Podium gear and apparel
A stellar HQ (Utah) gym with local professional coaches and classes offered
Onsite HQ (Utah) child care center, subsidized for employees
Additional benefits for fully remote employees
Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.
Analytics Engineer - Finance
To see similar active jobs please follow this link: Remote Development jobs
The Role
As an Analytics Engineer at Podium, you will help to deepen our understanding of Finance and Billing data at Podium, enabling multiple teams with access to critical data. You will be responsible for the infrastructure that supports all analytics projects, dashboards, reports, and models. Your direct stakeholders will be our internal Revenue Operations and Data Science team as well as the Finance and Accounting teams. You will work closely with talented Data Analysts, Data Engineers, and Data Scientists. The core responsibility requires you to create new data pipelines using SQL and dbt. This role is a balance between a Data Analyst and a Data Engineer. You should be equally comfortable and excited about coding and modeling as you are about mentoring, training, and empowering a team of Analysts and Data Scientists.
Responsibilities:
Design and implement a semantic data warehouse layer on top of our datalake using Snowflake and dbt
Architect data models through SQL
Write documentation for best practices and to record Podium’s data
Follow best practices around version control and mentor Data Analysts and Data Scientists on version control
You're background:
3+ years of work experience SQL and experience with multiple flavors, Snowflake preferred
2+ years of work experience using Git for version control
Exposure to Financial data and familiarity with key metrics such as MRR and churn
Experience using dbt and Snowflake is desirable
Strong drive to organize and document data in a reproducible manner
Ability to understand the business logic for structuring data in a given way while also understanding and overcoming the technical limitations and challenges of implementing the desired data structure
Eagerness to work on development of internal tools, systems, packages, process, and documentation
You have a proven record of providing analyses that have tangible impact on the business
Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics
You are committed to honesty and a diverse and inclusive workplace
Benefits
Open and transparent culture
Life insurance, long and short-term disability coverage
Paid maternity and paternity leave
Fertility Benefits
Generous vacation time, plus three 4-day summer holiday weekends
Excellent medical, dental, and vision benefits
401k Plan with competitive company matching
Bi-annual swag drops with cool Podium gear and apparel
A stellar HQ (Utah) gym with local professional coaches and classes offered
Onsite HQ (Utah) child care center, subsidized for employees
Additional benefits for fully remote employees
Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.
