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Venture Advanced Solutions in Phoenix, AZ seeks a Data Analyst to drive data-driven decisions and organizational efficiency. The role emphasizes data cleaning, transformation, and visualization, with duties spanning model development and dashboards for business insights.
You will collaborate with cross-functional teams, communicate findings clearly, and contribute to reports that inform strategic choices. A bachelor’s degree and 2+ years’ analytics experience are expected, with proficiency in
Venture Advanced Solutions, a leading technology consulting firm, is seeking a skilled Data Analyst in Phoenix, AZ. This full-time role involves leveraging data to drive strategic decisions and operational efficiencies.
As a Data Analyst, you will perform data analysis tasks, including data cleaning, transformation, and visualization. You will also develop and maintain data models, and create reports and dashboards to support decision-making.
You will work closely with cross-functional teams in a dynamic workplace in Phoenix, AZ, where you will collaborate with professionals from various departments to achieve common goals. This role requires strong communication and collaboration skills to effectively convey insights to stakeholders, ensuring that everyone is aligned and informed. You will need to actively listen to team members, provide clear and concise updates, and facilitate productive discussions to drive projects forward. Effective communication is crucial for fostering a positive work environment and achieving successful outcomes.
The salary is negotiable, allowing for potential adjustments based on the candidate's experience, skills, and market conditions. Benefits may include comprehensive health insurance plans that cover medical, dental, and vision care, as well as retirement plans such as a 401(k) or pension scheme, depending on the company's offerings. Additionally, there may be opportunities for professional development, such as tuition reimbursement or access to online courses and certifications, all subject to the company's specific policy and the candidate's role and tenure.
You must have a bachelor's degree in data analysis, statistics, computer science, or a related field. Experience with SQL, Python, and data visualization tools is required. Familiarity with machine learning and big data technologies is a plus.