Data Analyst (Middle) Id27074

Detalles de la oferta

AgileEngine is one of the Inc. 5000 fastest-growing companies in the U.S. 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 doReporting 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.Nice to havesFamiliarity 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 usProfessional 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.
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Salario Nominal: A convenir

Fuente: Jobleads

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