Data engineer • mesa az
Lead the design, development, and deployment of data reports and dashboards that empower business stakeholders to make informed strategic and operational decisions.Collaborate closely with business...Show more
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The average salary range is between $ 115,000 and $ 170,000 year , with the average salary hovering around $ 140,000 year .
The average salary range is between $ 105,570 and $ 172,017 year , with the average salary hovering around $ 130,000 year .
Responsibilities
:●Lead the design, development, and deployment of data reports and dashboards that empower business stakeholders to make informed strategic and operational decisions.
●Collaborate closely with business leaders and end-users to understand their data reporting requirements and translate them into actionable insights.
●Utilize advanced data visualization techniques to create intuitive and visually engaging reports and dashboards.
●Implement best practices for data reporting and dashboard design to ensure clarity, accuracy, and usability.
●Drive continuous improvement in data reporting processes and methodologies to enhance efficiency and effectiveness.
●Work closely with cross-functional teams to integrate data from various sources into cohesive reporting solutions.
●Provide training and support to users on how to effectively utilize data reports and dashboards to drive business outcomes.
●Stay updated on emerging trends and technologies in data reporting and visualization to continuously enhance skills and knowledge.
●Collaborate with IT teams to ensure the scalability, reliability, and security of data reporting infrastructure.
●Regularly evaluate the performance and impact of data reports and dashboards, making adjustments as needed to meet evolving business needs and objectives.
Requirements:
Strong Background in Data Reporting and Analytics:
●Proven experience in developing and implementing data reporting solutions, preferably in a data warehouse environment.
●Proficiency in designing and optimizing data models for reporting and analytics purposes.
●Familiarity with various reporting tools and platforms such as Oracle Analytics Cloud, PowerBI, Tableau, SQL or similar.
Expertise in Data Warehouse Management:
●Demonstrated understanding of data warehouse principles, methodologies, and best practices.
●Hands-on experience in managing and maintaining data warehouse systems, including data extraction, transformation, and loading (ETL) processes.
●Ability to optimize data warehouse performance and scalability to meet evolving business requirements.
Knowledge of Data Integration Techniques:
●Experience with data integration tools and technologies such as Oracle Data Integrator, Golden Gate, Informatica, or similar.
●Proficient in implementing data integration solutions to ensure seamless data flow across various systems and applications.
●Understanding of data integration strategies for consolidating data from disparate sources into a centralized repository.
Understanding of Best Practices in Data Management:
●Familiarity with industry best practices and standards related to data management, governance, and quality assurance.
●Ability to define and enforce data management policies, procedures, and guidelines to ensure data accuracy, consistency, and security.
●Experience in establishing data quality metrics and monitoring mechanisms to maintain high data integrity levels.
Collaborative Approach and Stakeholder Management:
●Proven track record of collaborating with cross-functional teams, including business stakeholders, IT professionals, and external vendors.
●Strong interpersonal skills to effectively communicate technical concepts and solutions to non-technical stakeholders.
●Ability to prioritize and manage stakeholder expectations while delivering data reporting and integration projects on time and within budget.
Continuous Learning and Certifications:
●Commitment to staying updated on emerging trends, technologies, and best practices in data reporting, data warehouse management, and data integration.
●Relevant certifications in data management, business intelligence, or related fields would be advantageous.
●Bachelor's degree in Business Administration, Computer Science, Information Systems, or related field.
●Minimum of 7-10 years of experience in data analysis, reporting, and business intelligence.
●Proficiency in a variety of reporting tools including Power BI, Oracle BI, SQL reporting tools, Tableau, and Domo.
●Strong analytical skills with the ability to analyze complex datasets and extract meaningful insights.
●Experience working with stakeholders from diverse functional areas, such as Finance, Supply Chain, Production, and Manufacturing.
●Excellent communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
●Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
●Certification in reporting tools such as Power BI, Tableau or Domo is a plus.
