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About the job Associate Data Analyst (Remote)
Job Description
At Arkestro, we believe customer engagement is the core of every global brand. Our mission is to help organizations discover opportunities previously only scarcely imagined by connecting work, data, and experiences enterprise wide. We hire innovators with the passion, creativity, and drive to answer constantly shifting market challenges and deliver impactful results for our customers. Our commitment to attracting and retaining a talented, diverse, and engaged team creates a collaborative environment that openly celebrates all cultures and affords personal and professional growth opportunities.
Overview of Job Function The Associate Data Analyst is assigned to the Intelligent Virtual Assistant (IVA) division, within the Arkestro Intelligent Self-Service department. The associate data analyst may be assigned IVA continuous improvement and/or internal projects. The role analyzes natural language and priority analysis results using an evidence-based approach. They also work with other analysts, project managers, engineering teams, and customer subject matter experts to shape business objectives based on their analysis. All recommendations will be approved by other analysts and their project team prior to being presented to any customers. The analyst possesses innate problem‑solving skills with a drive to align business objectives with data analysis findings. The analyst will use both established and creative techniques when analyzing user data, and in preparing presentation materials, to be reviewed internally with the project team. Analysis is performed using the Arkestro suite of analysis tools as well as other application suites, such as Microsoft Office, with a focus on Excel.
Principal Duties and Essential Responsibilities
Conduct quality analysis of IVA implementations, build data models and libraries, interpret insights, and help drive business decisions with customers.
Research and understand the clients domain and critical business needs to define and improve performance of the IVA within the scope of the project.
Analyze user behaviors and needs in order to recommend improvements to user experience.
Present actionable recommendations for the design and/or improvement of the IVA and the overall user experience.
Obtain client approval of recommendations to continue development and improvement of the IVA.
Minimum Requirements
Bachelors degree in analytics, linguistics, or a related field or equivalent work experience
Minimum of 0-2 years experience in analysis
Strong written and verbal communication skills
Ability to work on a team, with great interpersonal relations
Ability to manage tasks according to set priorities, multi‑task, and meet deadlines
Ability to communicate status of work to manager and project managers for proper planning
Ability to present recommendations in a compelling and professional manner to clients
Proficiency in Windows OS and Microsoft Office with a focus on Excel
Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit and drug screening, where applicable and in accordance with federal and local regulations
Preferred Requirements
Strong time management skills with the demonstrated ability to meet deadlines
Passion for data and language
Basic understanding of Python, R Studio, or other analysis applications
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Overview of Job Function The Associate Data Analyst is assigned to the Intelligent Virtual Assistant (IVA) division, within the Arkestro Intelligent Self-Service department. The associate data analyst may be assigned IVA continuous improvement and/or internal projects. The role analyzes natural language and priority analysis results using an evidence-based approach. They also work with other analysts, project managers, engineering teams, and customer subject matter experts to shape business objectives based on their analysis. All recommendations will be approved by other analysts and their project team prior to being presented to any customers. The analyst possesses innate problem‑solving skills with a drive to align business objectives with data analysis findings. The analyst will use both established and creative techniques when analyzing user data, and in preparing presentation materials, to be reviewed internally with the project team. Analysis is performed using the Arkestro suite of analysis tools as well as other application suites, such as Microsoft Office, with a focus on Excel.
Principal Duties and Essential Responsibilities
Conduct quality analysis of IVA implementations, build data models and libraries, interpret insights, and help drive business decisions with customers.
Research and understand the clients domain and critical business needs to define and improve performance of the IVA within the scope of the project.
Analyze user behaviors and needs in order to recommend improvements to user experience.
Present actionable recommendations for the design and/or improvement of the IVA and the overall user experience.
Obtain client approval of recommendations to continue development and improvement of the IVA.
Minimum Requirements
Bachelors degree in analytics, linguistics, or a related field or equivalent work experience
Minimum of 0-2 years experience in analysis
Strong written and verbal communication skills
Ability to work on a team, with great interpersonal relations
Ability to manage tasks according to set priorities, multi‑task, and meet deadlines
Ability to communicate status of work to manager and project managers for proper planning
Ability to present recommendations in a compelling and professional manner to clients
Proficiency in Windows OS and Microsoft Office with a focus on Excel
Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit and drug screening, where applicable and in accordance with federal and local regulations
Preferred Requirements
Strong time management skills with the demonstrated ability to meet deadlines
Passion for data and language
Basic understanding of Python, R Studio, or other analysis applications
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