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Director Data Analyst at Transaction Network Services

Director Data Analyst

@

Transaction Network Services

Key information

Posted on: 
March 13, 2023
Status:
Expired
Views:
2

Summary of the Director Data Analyst job at Transaction Network Services

Transaction Network Services is hiring a Director Data Analyst with 5 - 10 years of experience. Based in United States - Remote and with Remote ways of working. The expected salary range for this role is $153700 - $187300
About Transaction Network Services

Transaction Network Services (TNS) is a leading global provider of data communications and interoperability solutions. Our global network and innovative value-added services enable transactions and the exchange of information to many of the world’s leading retailers, banks, payment processors, financial institutions and telecommunication firms. Founded in 1990 in the United States, TNS has grown steadily and now provides services to customers in over 60 countries across the Americas, Europe and the Asia Pacific region, with our reach extending to many more. TNS has designed and implemented a global data network which supports a variety of widely accepted communications protocols and is designed to be scalable and accessible by multiple methods.

Director Data Analyst job description

Transaction Network Services is seeking a leader of its Data Analytics team to develop proactive reporting, insights, dashboards, and analysis for its industry leading call management suite of services. This position will work closely with product managers and data scientists to determine which data sets are needed and available for analyses and which data analyses to execute. Candidate will lead initiatives to design and build reporting tools, information dashboards, data generators, and other end-user information portals or resources. It will plan, manage and control the activities of a team of data analysts that provides technology-based data reporting tools and management for customers and internal management. The role advises business groups by providing technical and strategic reports that identify and address business issues and opportunities. In addition to producing dashboards and KPIs, the team will work with the data scientists to identify trends, test models, and develop learnings from the company’s vast data pool. The position must ensure that policies and procedures align with corporate vision. It selects, develops and evaluates personnel ensuring efficient operation of the function. This is a technical role focused on leading technical teams responsible for building technical tools and structures based on established specifications. The data to be analyzed consists of hundreds of billions of data points, principally telecom data associated with call activity, call authentication parameters, signaling events, and call routing databases.

Responsibilities

  • Develop data set processes for data modeling, mining and production
  • Acquire and prepare data for analytics purposes and assist with the execution of those analyses
  • Design, construct, install, test and maintain data management systems, SQL, NoSQL, and Big Data
  • Research opportunities for data acquisition and new uses for existing data
  • Ensure data analytics systems meet business requirements and industry practices
  • Build and assist with high-performance algorithms, prototypes, predictive models and proof of concepts
  • Integrate new data management technologies and software engineering tools into existing structures
  • Employ a variety of languages and tools (e.g. scripting languages, R) to marry data and systems together
  • Recommend ways to improve data reliability, efficiency and quality
  • Collaborate with product architects, data architects, modelers and IT team members on project goals
Director Data Analyst job requirements

Technical Skill Required:

  • SQL, Python
  • UNIX, Linux, Solaris and MS Windows
  • SQL-based technologies (e.g. PostgreSQL and MySQL)
  • Hadoop-based technologies (e.g. MapReduce, Hive)
  • NoSQL technologies (e.g. HBase, SoLR)
  • ERD Data modeling
  • Data warehousing solutions
  • Data mining
  • Statistical analysis and modeling
  • Database architectures

Nice To Have

  • Predictive modeling, NLP and text analysis
  • Machine Learning

Business Skills Required

  • Creative Problem-Solving: Approaching data organization challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources.

  • Effective Collaboration: Carefully listening to management, data scientists and data architects to establish their needs.

  • Intellectual Curiosity: Exploring new territories and finding creative and unusual ways to solve data management problems.

  • Industry Knowledge: Understanding the way your chosen industry functions and how data can be collected, analyzed and utilized; maintaining flexibility in the face of big data developments.

  • 6+ years experience with data driven technology

  • Bachelors degree in Engineering, Math or Statistics with a strong focus on data sciences/data modeling

What we offer at Transaction Network Services

For this role, we anticipate paying $153,700k - $187,300 annually. This role is eligible for variable pay, issued as a monetary bonus or in another form. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location. TNS offers a competitive benefit package including medical and dental coverage, life insurance, paid holidays and vacations, and a 401K plan with company match.

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Transaction Network Services

Transaction Network Services

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Director Data Analyst

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Posted on: 
December 7, 2023

About Our Company

Transaction Network Services (TNS) is a leading global provider of data communications and interoperability solutions. Our global network and innovative value-added services enable transactions and the exchange of information to many of the world’s leading retailers, banks, payment processors, financial institutions and telecommunication firms. Founded in 1990 in the United States, TNS has grown steadily and now provides services to customers in over 60 countries across the Americas, Europe and the Asia Pacific region, with our reach extending to many more. TNS has designed and implemented a global data network which supports a variety of widely accepted communications protocols and is designed to be scalable and accessible by multiple methods.

Job Description & Responsibilities

Transaction Network Services is seeking a leader of its Data Analytics team to develop proactive reporting, insights, dashboards, and analysis for its industry leading call management suite of services. This position will work closely with product managers and data scientists to determine which data sets are needed and available for analyses and which data analyses to execute. Candidate will lead initiatives to design and build reporting tools, information dashboards, data generators, and other end-user information portals or resources. It will plan, manage and control the activities of a team of data analysts that provides technology-based data reporting tools and management for customers and internal management. The role advises business groups by providing technical and strategic reports that identify and address business issues and opportunities. In addition to producing dashboards and KPIs, the team will work with the data scientists to identify trends, test models, and develop learnings from the company’s vast data pool. The position must ensure that policies and procedures align with corporate vision. It selects, develops and evaluates personnel ensuring efficient operation of the function. This is a technical role focused on leading technical teams responsible for building technical tools and structures based on established specifications. The data to be analyzed consists of hundreds of billions of data points, principally telecom data associated with call activity, call authentication parameters, signaling events, and call routing databases.

Responsibilities

  • Develop data set processes for data modeling, mining and production
  • Acquire and prepare data for analytics purposes and assist with the execution of those analyses
  • Design, construct, install, test and maintain data management systems, SQL, NoSQL, and Big Data
  • Research opportunities for data acquisition and new uses for existing data
  • Ensure data analytics systems meet business requirements and industry practices
  • Build and assist with high-performance algorithms, prototypes, predictive models and proof of concepts
  • Integrate new data management technologies and software engineering tools into existing structures
  • Employ a variety of languages and tools (e.g. scripting languages, R) to marry data and systems together
  • Recommend ways to improve data reliability, efficiency and quality
  • Collaborate with product architects, data architects, modelers and IT team members on project goals

Requirements

Technical Skill Required:

  • SQL, Python
  • UNIX, Linux, Solaris and MS Windows
  • SQL-based technologies (e.g. PostgreSQL and MySQL)
  • Hadoop-based technologies (e.g. MapReduce, Hive)
  • NoSQL technologies (e.g. HBase, SoLR)
  • ERD Data modeling
  • Data warehousing solutions
  • Data mining
  • Statistical analysis and modeling
  • Database architectures

Nice To Have

  • Predictive modeling, NLP and text analysis
  • Machine Learning

Business Skills Required

  • Creative Problem-Solving: Approaching data organization challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources.

  • Effective Collaboration: Carefully listening to management, data scientists and data architects to establish their needs.

  • Intellectual Curiosity: Exploring new territories and finding creative and unusual ways to solve data management problems.

  • Industry Knowledge: Understanding the way your chosen industry functions and how data can be collected, analyzed and utilized; maintaining flexibility in the face of big data developments.

  • 6+ years experience with data driven technology

  • Bachelors degree in Engineering, Math or Statistics with a strong focus on data sciences/data modeling

What we offer

For this role, we anticipate paying $153,700k - $187,300 annually. This role is eligible for variable pay, issued as a monetary bonus or in another form. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location. TNS offers a competitive benefit package including medical and dental coverage, life insurance, paid holidays and vacations, and a 401K plan with company match.

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