Remote 100%: Sr. Data Engineer/Analyst

Matchpoint Solutions

New York New York

United States

Engineering
(No Timezone Provided)

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you.

Job Title: Sr. Data Engineer/Analyst
Duration: 6+ Months
Location: Remote 100% (Should work for EST Hours)
The ideal candidate possesses a strong analytical toolset, has a passion for difficult challenges and a willingness to prototype and rapidly iterate, working with cross-functional teams to drive meaningful impact to the business.

Responsibilities

  • Collaborate and partner with internal stakeholders to proactively identify process improvements, capture business process requirements, and help translate these requirements into technical solutions to drive efficiency for the organization
  • Support the accounting and finance stakeholders with automation and build out customized analytic reports for financial and operational reporting
  • Design and develop ETL workflows and datasets in SQL/Python to be used by the accounting and finance team to automate the month-end close processes and reconciliations
  • Ability to write complex SQL queries with multiple joins to automate/manipulate these extracts
  • Take a hands-on approach to troubleshooting complex process and functional issues and manage these through to resolution
  • Diagnose and troubleshoot data discrepancies and errors
  • Understand existing source system data models
  • Work with business partners and IT integrations team to define and create reporting dashboards, and support ongoing data monitoring for financial data across systems
Qualifications
  • Bachelor's or Master's degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Finance or Statistics)
  • 3+ years of relevant work experience in analytics or business intelligence capacity
  • Highly skilled in SQL and strong data extraction skills
  • Proficiency in Python preferred
  • Hands-on experience working with very large datasets, including statistical analyses, data visualization, data mining, and data cleansing/transformation
  • Hands-on experience with data model development and reporting in data visualization tools
  • High level of precision and attention to detail
  • Strong communication skills; proven ability to communicate effectively with internal and external business partners at various levels and to understand and express complex technical concepts
  • Understanding of financial accounting concepts and familiarity with month-end close process preferred
  • Proactive, self-motivated, and can work independently with strong organizational and time management skills
Regards,

Joseph Samuel
Resource Manager
MatchPoint Solutions | Office 310-961-4644| Email: [email protected]
 

Remote 100%: Sr. Data Engineer/Analyst

Matchpoint Solutions

New York New York

United States

Engineering

(No Timezone Provided)

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you.

Job Title: Sr. Data Engineer/Analyst
Duration: 6+ Months
Location: Remote 100% (Should work for EST Hours)
The ideal candidate possesses a strong analytical toolset, has a passion for difficult challenges and a willingness to prototype and rapidly iterate, working with cross-functional teams to drive meaningful impact to the business.

Responsibilities

  • Collaborate and partner with internal stakeholders to proactively identify process improvements, capture business process requirements, and help translate these requirements into technical solutions to drive efficiency for the organization
  • Support the accounting and finance stakeholders with automation and build out customized analytic reports for financial and operational reporting
  • Design and develop ETL workflows and datasets in SQL/Python to be used by the accounting and finance team to automate the month-end close processes and reconciliations
  • Ability to write complex SQL queries with multiple joins to automate/manipulate these extracts
  • Take a hands-on approach to troubleshooting complex process and functional issues and manage these through to resolution
  • Diagnose and troubleshoot data discrepancies and errors
  • Understand existing source system data models
  • Work with business partners and IT integrations team to define and create reporting dashboards, and support ongoing data monitoring for financial data across systems
Qualifications
  • Bachelor's or Master's degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Finance or Statistics)
  • 3+ years of relevant work experience in analytics or business intelligence capacity
  • Highly skilled in SQL and strong data extraction skills
  • Proficiency in Python preferred
  • Hands-on experience working with very large datasets, including statistical analyses, data visualization, data mining, and data cleansing/transformation
  • Hands-on experience with data model development and reporting in data visualization tools
  • High level of precision and attention to detail
  • Strong communication skills; proven ability to communicate effectively with internal and external business partners at various levels and to understand and express complex technical concepts
  • Understanding of financial accounting concepts and familiarity with month-end close process preferred
  • Proactive, self-motivated, and can work independently with strong organizational and time management skills
Regards,

Joseph Samuel
Resource Manager
MatchPoint Solutions | Office 310-961-4644| Email: [email protected]