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Locals to Colorado only and $45 is the best rate we have- Data Analyst POSITION IS HYBRID. : Denver, CO, 3 days in the office 3+ Months contract at Denver, Colorado, USA
Email: [email protected]
Hi All,

Please find the role below and let us know your interest.

Data Analyst

POSITION IS HYBRID. : Denver, CO, 3 days in the office

3+ Months contract

Overview: We are seeking a highly skilled and motivated Data Engineering Analyst to join our dynamic team. As a Data Engineering Analyst, you will play a critical role in managing and analyzing our organization's data infrastructure. You will collaborate with
cross-functional teams to design, implement, and optimize data pipelines, ensuring the availability, reliability, and efficiency of our data systems and deliver a dashboard capturing KPIs for stakeholders. The ideal candidate will possess a strong background
in data engineering, analytics, and programming, along with excellent problem-solving abilities and a passion for leveraging data to drive business insights. Key Responsibilities: Bachelor's or Master's degree in Computer Science, Information Systems, Data
Engineering, or related field. Proven experience in data engineering, data analysis, or a related role, preferably in a fast-paced, technologydriven environment. Proficiency in programming languages such as Python, SQL, or Java, and experience with data
manipulation and transformation frameworks (e.g., Pandas, Spark). Strong understanding of database technologies (e.g., SQL, NoSQL, BigQuery), data warehousing concepts, and cloud platforms (e.g., AWS, Azure, GCP). Experience with data integration tools
(e.g., Apache NiFi, Talend, Informatica) and workflow management systems (e.g., Apache Airflow, Luigi). Familiarity with data visualization and BI tools (e.g., Tableau, Power BI) is a plus. Prior experience with Smartsheet, Air Table, Power Query, and
Sharepoint for data organization, tracking, and collaboration is highly desirable. Collaborate and communicate with data and scorecard stakeholders and other non-technical teammates to work through technical requirements. Detail-oriented mindset with a
focus on data quality, accuracy, and consistency. Manage competing priorities aligned to desired outcomes in a dynamic environment. Respond to ad hoc requests. Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, Data
Engineering, or related field. Proven experience in data engineering, data analysis, or a related role, preferably in a fast-paced, technologydriven environment. Proficiency in programming languages such as Python, SQL, or Java, and experience with data
manipulation and transformation frameworks (e.g., Pandas, Spark). Strong understanding of database technologies (e.g., SQL, NoSQL, BigQuery), data warehousing concepts, and cloud platforms (e.g., AWS, Azure, GCP). Experience with data integration tools
(e.g., Apache NiFi, Talend, Informatica) and workflow management systems (e.g., Apache Airflow, Luigi). Familiarity with data visualization and BI tools (e.g., Tableau, Power BI) is a plus. Excellent analytical, problem-solving, and communication skills,
with the ability to collaborate effectively across teams and communicate technical concepts to non-technical stakeholders. Detail-oriented mindset with a focus on data quality, accuracy, and consistency. Strong organizational skills and the ability to
manage multiple tasks and priorities in a dynamic environment. Prior experience with Smartsheet, Air Table, Power Query, and Sharepoint is highly desirable due to the specific data organization, tracking and collaboration requirements of the role.

Kind Regards
,

Ashwa Mohan

Delivery Lead- US Process ( Recruitment)

An
ISO 9001:2015 Certified Company and Proud Member of NASSCOM

Phone:
919 439 3682 extn 9014

Email:

[email protected]

LinkedIn :
linkedin.com/in/mohan-kumar-b7949444

Our Locations: India | USA | UK

www.infomericainc.com

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Locals to Colorado only and $45 is the best rate we have- Data Analyst POSITION IS HYBRID. : Denver, CO, 3 days in the office 3+ Months contract
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Mon Apr 08 22:09:00 UTC 2024

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