

Flexton Inc.
Data & BI Analyst /Data Analyst, Ecosystem Strategic Finance
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data & BI Analyst in Ecosystem Strategic Finance, remote for 6 months at $49.21 - $58.05 hourly. Requires a BS in a quantitative field, 2+ years of data experience, and proficiency in SQL, Python, and data visualization tools.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
464
-
ποΈ - Date
November 21, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Data Analysis #Python #SQL (Structured Query Language) #Hadoop #R #Java #Scala #Programming #Data Warehouse #PHP #Data Management #JavaScript #Presto #Spark (Apache Spark) #Visualization #Tableau #BI (Business Intelligence) #Pig
Role description
β’ Job Title: Data & BI Analyst /Data Analyst, Ecosystem Strategic Finance
β’ # of Headcount: 01
β’ Duration: 6 months
β’ Pay Range: $49.21 - $58.05 Hourly βPlease note that the pay rate will range from 82% - 100% based on your location"
Data Analyst, Ecosystem Strategic Finance
Remote
Full Time
6-months, extension TBD
We are looking for a Data & BI Analyst to join our team.
Responsibilities:
β’ Lead data-driven recommendations and insights to support strategic projects across Ecosystem strategic finance
β’ Understand the business, track operational performance, provide insights and recommendations
β’ Support company-wide programs through ownership of analytical projects
β’ Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python)
β’ Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely
Basic Qualifications:
β’ BS degree in a quantitative discipline
β’ 2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics
Preferred Qualifications:
β’ Ability to leverage numbers and insights to influence & drive sound decision making
β’ Ability to build strong partnerships and collaborate with stakeholders
β’ Experience in communicating effectively and presenting to Senior Executives
β’ Experience with manipulating massive-scale structured and unstructured data
β’ Experience creating and maintaining business-critical data warehouse tables using SQL
β’ Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.)
β’ Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)
β’ Job Title: Data & BI Analyst /Data Analyst, Ecosystem Strategic Finance
β’ # of Headcount: 01
β’ Duration: 6 months
β’ Pay Range: $49.21 - $58.05 Hourly βPlease note that the pay rate will range from 82% - 100% based on your location"
Data Analyst, Ecosystem Strategic Finance
Remote
Full Time
6-months, extension TBD
We are looking for a Data & BI Analyst to join our team.
Responsibilities:
β’ Lead data-driven recommendations and insights to support strategic projects across Ecosystem strategic finance
β’ Understand the business, track operational performance, provide insights and recommendations
β’ Support company-wide programs through ownership of analytical projects
β’ Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python)
β’ Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely
Basic Qualifications:
β’ BS degree in a quantitative discipline
β’ 2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics
Preferred Qualifications:
β’ Ability to leverage numbers and insights to influence & drive sound decision making
β’ Ability to build strong partnerships and collaborate with stakeholders
β’ Experience in communicating effectively and presenting to Senior Executives
β’ Experience with manipulating massive-scale structured and unstructured data
β’ Experience creating and maintaining business-critical data warehouse tables using SQL
β’ Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.)
β’ Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)






