Data Strategy Consultant
Data

Data Strategy Consultant

Looking to hire your next Data Strategy Consultant? Here’s a full job description template to use as a guide.

97000
yearly U.S. wage
38800
yearly with Vintti

* Salaries shown are estimates. Actual savings may be even greater. Please schedule a consultation to receive detailed information tailored to your needs.

About Vintti

At Vintti, we specialize in providing US businesses with staffing solutions that feel local. By connecting companies with Latin American professionals operating in compatible time zones, we ensure that work schedules align naturally with US business hours. This temporal harmony facilitates immediate response times, efficient project management, and a cohesive team dynamic regardless of physical location.

Description

A Data Strategy Consultant plays a vital role in helping organizations harness the power of data to drive business decisions and innovation. They work closely with clients to develop and implement comprehensive data strategies that align with business objectives. This includes identifying opportunities for data collection, ensuring data quality, and utilizing advanced analytics to uncover insights. By leveraging their expertise in data management, governance, and analytics, Data Strategy Consultants enable businesses to maximize the value of their data assets, optimize operations, and achieve a competitive edge in the marketplace.

Requirements

- Bachelor's degree in Data Science, Computer Science, Statistics, Business, or a related field.
- Advanced degree (MBA, Master's, or PhD) in a relevant field preferred.
- Proven experience as a Data Strategy Consultant or similar role.
- Proficiency in data analysis tools (e.g., R, Python, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of data modeling, data architecture, and database design.
- Solid knowledge of data management best practices and data governance frameworks.
- Familiarity with data privacy regulations (e.g., GDPR, CCPA) and compliance standards.
- Excellent analytical and problem-solving skills.
- Ability to translate complex data into actionable insights.
- Strong project management skills with the ability to manage multiple projects simultaneously.
- Aptitude for collaboration and effective communication with cross-functional teams.
- Strong presentation skills with the ability to convey data insights to non-technical stakeholders.
- Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform).
- Certification in data-related fields (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate) is a plus.
- Strong attention to detail and commitment to data integrity.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a team.
- Experience with machine learning algorithms and statistical methods is a plus.

Responsabilities

- Analyze complex data sets for strategic decision-making.
- Develop and implement data strategies aligned with business objectives.
- Collaborate with teams to identify data-driven opportunities.
- Design and build data models and dashboards.
- Conduct data audits and assessments for quality assurance.
- Advise on data management and governance best practices.
- Prepare reports and presentations for stakeholders.
- Monitor industry trends and new data technologies.
- Oversee data analytics projects from start to finish.
- Provide training on data tools and techniques.
- Liaise with IT for data infrastructure and security.
- Translate business needs into technical data specifications.
- Identify and mitigate potential data risks.
- Facilitate workshops to uncover data needs and solutions.
- Ensure compliance with data privacy regulations.

Ideal Candidate

The ideal candidate for the Data Strategy Consultant role will possess a robust blend of technical expertise, strategic acumen, and exceptional communication skills. Holding at least a bachelor's degree in Data Science, Computer Science, Statistics, Business, or a related field, with an advanced degree being a preferred asset, this individual has proven experience in similar roles that showcase their proficiency in data analysis and strategic implementation. They are highly skilled in using data analysis tools such as R, Python, and SQL, and are adept at creating visualization dashboards with tools like Tableau and Power BI. Their deep understanding of data modeling, architecture, and database design, coupled with solid knowledge of data management best practices and governance frameworks, is essential. The candidate is well-versed in data privacy regulations, such as GDPR and CCPA, ensuring all practices comply with these standards. They possess exceptional analytical and problem-solving abilities, consistently translating complex data into actionable business insights. Excellent project management skills enable them to oversee multiple data projects from inception to completion effectively. Their collaborative spirit, paired with strong presentation and communication skills, allows them to work seamlessly with cross-functional teams and convey complex data insights to non-technical stakeholders. Additionally, experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform) and familiarity with machine learning algorithms and statistical methods provide a significant advantage. Certification in data-related fields is also a plus. Personally, this candidate demonstrates a high degree of attention to detail, integrity, and professionalism, and is proactive, self-motivated, and committed to continuous learning. Their innovative and creative approach, coupled with strong business acumen and the ability to simplify complex data, makes them not only a strategic thinker but also an effective leader and mentor within the team.

On a typical day, you will...

- Analyze and interpret complex data sets to inform strategic decisions.
- Develop and implement data strategies aligned with business goals.
- Collaborate with cross-functional teams to identify data-driven opportunities.
- Design and build data models and dashboards for analytical insights.
- Conduct data audits and assessments to ensure data quality and integrity.
- Advise on best practices for data management and data governance.
- Prepare detailed reports and presentations to communicate findings to stakeholders.
- Monitor industry trends and advancements in data technologies.
- Oversee data analytics projects from inception to completion.
- Provide training and support to team members on data tools and techniques.
- Liaise with IT departments to ensure proper data infrastructure and security.
- Translate business requirements into technical specifications for data solutions.
- Identify potential data risks and develop mitigation strategies.
- Facilitate workshops and brainstorming sessions to uncover data needs and solutions.
- Ensure compliance with data privacy regulations and standards.

What we are looking for

- Strong analytical mindset
- Exceptional problem-solving skills
- High degree of attention to detail
- Excellent communication abilities
- Effective collaboration skills
- Proactive and self-motivated
- Strong project management capabilities
- Adaptable to new technologies and trends
- Ability to simplify complex data
- Strategic thinking
- High level of integrity and professionalism
- Strong business acumen
- Ability to lead and mentor teams
- Innovative and creative approach
- Commitment to continuous learning
- Ability to work under pressure
- Excellent organizational skills
- Strong critical thinking skills
- Customer-focused mindset

What you can expect (benefits)

- Competitive salary range based on experience and qualifications
- Comprehensive health, dental, and vision insurance plans
- Flexible work schedules and remote work options
- Generous paid time off (PTO) and holiday schedule
- Retirement savings plan with employer matching contributions
- Professional development opportunities and funding for certifications
- Employee assistance programs for mental health and wellness
- Performance-based bonuses and incentives
- Tuition reimbursement for advanced education
- Company-sponsored conferences and workshops
- Opportunities for career advancement and internal promotions
- Life and disability insurance coverage
- Access to cutting-edge technology and tools
- Collaborative and inclusive work environment
- Paid parental leave
- Wellness programs and on-site fitness facilities
- Commuter benefits and transportation reimbursement
- Regular team-building activities and social events
- Recognition and rewards programs for outstanding performance

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