Data Analyst (Middle) Id27074

Detalles de la oferta

Job Description AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch.
We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions If you like a challenging environment where you're working with the best and are encouraged to learn and experiment every day, there's no better place - guaranteed!
:) What you will do Reporting and Visualization: Design and develop reports and dashboards using AWS QuickSight and Looker Studio from Google.
Create visually appealing and intuitive dashboards that effectively communicate key metrics and insights to stakeholders; Data Modeling: Work closely with stakeholders to understand business requirements and translate them into data models.
Develop and maintain data models to support reporting and analysis needs; Data Analysis: Utilize advanced analytical techniques to interpret complex data sets.
Extract meaningful insights and trends to provide actionable recommendations; Data Quality Assurance: Ensure data accuracy, completeness, and consistency across various datasets.
Identify and address data quality issues to maintain data integrity; Collaboration: Collaborate with cross-functional teams including but not limited to marketing, sales, and product development to understand their data needs and provide analytical support; Continuous Improvement: Stay updated with the latest industry trends and best practices in data analysis and visualization.
Continuously improve processes and methodologies to enhance efficiency and effectiveness.
Must haves  +2 years proven experience in data analysis and visualization; +2 years Experience with SQL; Proficiency in AWS QuickSight, Looker Studio from Google or similar BI tools; Working knowledge in Git and DBT; Strong analytical and problem-solving skills; Excellent communication and presentation skills; Ability to work effectively in a fast-paced, collaborative environment; Upper-intermediate English Level.
Nice to haves Familiarity with statistical analysis techniques; Proficiency with Python libraries such as Pandas and Numpy is a plus; Experience working in an Agile environment / Marketing teams; Certifications in data analysis or related fields (e.g., Google Data Analytics Certificate).
The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Requirements +2 years proven experience in data analysis and visualization; +2 years Experience with SQL; Proficiency in AWS QuickSight, Looker Studio from Google or similar BI tools; Working knowledge in Git and DBT; Strong analytical and problem-solving skills; Excellent communication and presentation skills; Ability to work effectively in a fast-paced, collaborative environment; Upper-intermediate English Level.


Salario Nominal: A convenir

Fuente: Talent_Ppc

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