Data Analytics

Data Analytics

AceStack

Santa Clarita, CA • On-site

Full-time

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Job description

Role : Data Analytics
Location: Santa Clara, CA (on-site)
FTE & Contract Both
Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python
Job Description:
1. Strong in advance SQL
2. Good at data analysis
3. Should be able to build BI dashboards using Tableau & Power BI
4. Experience in Databricks, AWS and Python
5. Candidate should be able to assist business stakeholders to build their dashboards

AceStack logo

About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

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Frequently asked questions

Q: What skills or qualities help someone succeed as a Data Analytics Developer?

A: To succeed as a Data Analytics Developer, key technical skills include proficiency in programming languages such as Python, R, or SQL, as well as expertise in data visualization tools like Tableau or Power BI, and familiarity with machine learning libraries like scikit-learn or TensorFlow. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial, as Data Analytics Developers often work with cross-functional teams to identify business needs and develop data-driven solutions. By combining technical expertise with strong soft skills, Data Analytics Developers can effectively drive business growth, improve decision-making, and advance their careers in the field.

Q: What is the career path for a Data Analytics Developer?

A: A Data Analytics Developer's career path typically begins as a Junior Data Analyst or Data Analyst, where they develop foundational skills in data visualization, statistical modeling, and programming languages such as Python or R. As they gain experience, they progress to mid-level roles like Senior Data Analyst or Data Engineer, where they focus on designing and implementing large-scale data systems, and develop expertise in machine learning, data warehousing, and cloud computing. Ultimately, senior roles like Lead Data Scientist or Director of Data Analytics offer opportunities for leadership, strategic decision-making, and driving business outcomes through data-driven insights.