Data Analyst

Zensai; United States; Remote; USD 60,000 - 100,000; Full time

Job summary

Join a dynamic team as a Data Analyst in a rapidly growing company where your insights will shape business strategies. This role involves collaborating with various departments to optimize product usage and enhance decision-making through data-driven insights. You will manage BI dashboards, analyze complex datasets, and ensure data quality while working in a supportive environment that values your contributions. If you are passionate about data and eager to make an impact, this is the perfect opportunity for you to thrive and grow your career.

Qualifications

• 3+ years of experience in data analysis and reporting.
• Proficient in SQL and data visualization tools like PowerBI.

Responsibilities

• Gather and analyze datasets to drive business insights.
• Present data findings and maintain BI dashboards.

Skills

Data Analysis

SQL

Microsoft Excel

PowerBI

Cloud Computing

Python

R

CRM Systems

Statistics

Education

Bachelor's degree in Information Technology

Bachelor's degree in Analytics

Bachelor's degree in Data Science

Bachelor's degree in Supply Chain

Tools

PowerBI

SQL Server Management Studio (SSMS)

Azure LogAnalytics

SharePoint

Microsoft Teams

Job description

Job description

Data Analyst

The Role

Our company is rapidly expanding and so is our dependence on data. We’re looking for a rising star to join our DIA (Data, Insights, and Analytics) team. The right person understands both technology and the people & business it supports.

Are you passionate about optimizing business, finding data-driven insights, and working in a collaborative setting? If yes, this is a great opportunity for you to grow with us and become a stakeholder in helping run the backbone of the company.

Key Roles/Responsibilities

• Gather requirements from stakeholders and manage end-to-end BI Dashboarding, score-carding, and reports to help tell the data story across the organization

• Present final product (Dashboard, report, etc.) to the stakeholders and provide continuous maintenance based on feedback

• Mine, gather, and analyze datasets to drive optimization and improvement of product usage, product development, marketing metrics, commercial metrics, etc.

• Work closely with Finance, Commercial Operations, and Marketing and assist in the monthly management and GTM reports that gives a holistic pulse of the company and working model

• Work with team members to identify opportunities for leveraging company data to document meaningful insights and recommendations for key data-driven decisions

• Identify data source gaps and help define the business processes and tools to capture the right data to answer business questions

• Maintain a high level of professionalism and confidentiality regarding data privacy

• Ensure a high-level of data quality and accuracy across all relevant data sources and investigate any discrepancies

• Document requirements and procedures when working with new datasets and new projects

• Analyze, import, export, or connect to data sources using SQL (SSMS) and Azure LogAnalytics

Technical Qualifications

• 3+ years in an Analyst position or a position that required heavy compiling and analysis of data from multiple sources

• Self-motivated with proven record of creating actionable insights from data

• Advanced experience with Microsoft Excel

• Advanced experienced with PowerBI (DAX)

• Proficient experience with Azure or other Cloud Computing Service (AWS, Google Cloud)

• Some level of experience with Azure services like Azure Synapse Analytics, LogAnalytics, Cost Management, etc.

• Proficient experience with SQL and a relational database management system (SSMS, mySQL, etc.)

• Proficient experience with SharePoint and Teams

• Some experience with Python, R

• Some experience with a CRM (Microsoft Dynamics, C4C, Salesforce, etc.)

• Proficient understanding of general statistics

• Preferred certification in Microsoft PL-300 (Microsoft PowerBI Data Analyst)

• Bachelor’s degree preferred in related field – Information Technology, Analytics, Data Science, Supply Chain, etc.

Non-Technical Qualifications

• Strong written and verbal communication skills and fluent in English

• Collaborative within our own team and cross-functionally with other teams

• Organized and is flexible to our scrum methodology of work

• Self-motivated and efficient

• Willingness to learn and help

All done!

Your application has been successfully submitted!

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