Data Analyst II at Astreya

Mexico, chihuahua, Mexico -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

0.0

Posted On

25 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistical Modeling, SQL, Python, Data Visualization, Excel, Google Sheets, Data Quality Assurance, Data Infrastructure, Forecasting Reports, Data Validation, Data Transformation, Dashboard Creation, Attention to Detail, Communication Skills, Problem Solving

Industry

IT Services and IT Consulting

Description

What this Job Entails: We are looking for a Data Analyst II to join our growing team of analytics experts. The hire will be responsible for statistical modeling, and analysis of structured and unstructured datasets to develop metrics, reports, and visualizations of trends and patterns. The Data Analyst identifies and captures data from internal and external sources. The Data Analyst will ensure consistency throughout ongoing projects. Scope: Uses professional concepts and company objectives to resolve complex issues in creative and effective ways Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors Your Roles and Responsibilities: Create data visualizations Troubleshoot and test database technical issues with development team Create monthly Excel and Google Sheets files from database Independently analyze data sets to identify opportunities for increased accuracy and efficiency Perform quality assurance on data to determine potential data gaps Handle data-related technical issues and support data infrastructure needs Assemble large, complex data sets that meet functional / non-functional business Work with data and analytics experts to strive for greater functionality in our data systems. Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position Required Qualifications/Skills: Bachelor’s degree (B.S/B.A) from four-college or university and 2 to 5 years’ related experience and/or training; or equivalent combination of education and experience Builds productive internal and external working relationships Exercises judgment within defined procedures and practices to determine appropriate action SQL skills; including creating and modifying macros, as well as creating dashboards using SQL coding Excellent written communication skills High level of attention to detail Advanced Excel skills to include; formulas, functions, pivot tables, lookup and reference formulas (i.e. vlookups), statistical formulas (countifs, sumifs), macros (ability to create new and edit existing), conditional formatting, importing data, creating graphs/charts, etc. Ability to independently analyze large amounts of data; including the ability to identify, analyze, and interpret trends, gaps, patterns in complex data sets Strong proficiency in SQL, Python, and command-line tools (hands-on assessment required). Solid understanding of cloud platforms and data environments. Ability to build forecasting reports and interpret trends accurately. Experience in creating and maintaining dashboards with strong data visualization principles. Deep understanding of datasets, including data validation, transformation, and analysis. Prior experience with Google PLX or similar internal data platforms (preferred). Minimum 2 years of experience in a data analysis role. Preferred Qualifications: Experience using Google PLX Dashboards Physical Demand & Work Environment: Must have the ability to perform office-related tasks which may include prolonged sitting or standing Must have the ability to move from place to place within an office environment Must be able to use a computer Must have the ability to communicate effectively Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers

Responsibilities

The Data Analyst II will create data visualizations and analyze structured and unstructured datasets to identify trends and patterns. They will also troubleshoot database issues and ensure data quality across ongoing projects.