Data Analytics Executive – Empower Business Decisions with Insight

Are you a data-driven professional passionate about transforming information into actionable strategies? We are seeking a Data Analytics Executive to join a fast-growing organization in Los Angeles, CA. This is a unique opportunity to lead data initiatives, optimize business intelligence, and shape decision-making in a highly competitive environment. If you excel in analytical thinking, team leadership, and cross-functional collaboration, this role could be the next step in your career.

Drive Strategic Growth with Data in Los Angeles

A leading firm based in Los Angeles, CA is on the lookout for a seasoned Data Analytics Executive to spearhead its analytics operations. The ideal candidate will have a strong background in data modeling, visualization tools, and performance analytics, with a keen ability to turn complex data into clear business value. This is your chance to influence strategic direction and foster a culture of data excellence in a dynamic, forward-thinking company.

Key Responsibilities of the Data Analytics Executive – Los Angeles, CA

Data Strategy & Vision:
Develop and execute a comprehensive data strategy aligned with business goals. Leverage advanced analytics to uncover opportunities, drive efficiencies, and inform high-impact decisions across departments.

Data Governance & Infrastructure:
Establish robust data governance frameworks to ensure data quality, accuracy, privacy, and compliance. Oversee the design and implementation of scalable data infrastructure, including data lakes, warehouses, and pipelines.

Business Intelligence & Reporting:
Create, manage, and evolve dashboards and reporting tools to deliver actionable insights to stakeholders. Ensure timely, accurate, and relevant data reporting that empowers departments to make informed, data-backed decisions.

Predictive & Advanced Analytics:
Lead initiatives involving machine learning, forecasting models, and AI-driven insights to anticipate trends and customer behavior. Translate complex data into simple, business-focused outcomes that support strategic planning.

Cross-Functional Collaboration:
Work closely with marketing, finance, operations, and product teams to align analytics solutions with business objectives. Act as the central hub for all data-related initiatives and foster a data-driven culture across the organization.

Team Leadership & Talent Development:
Build, mentor, and lead a high-performing analytics team. Drive team alignment, encourage continuous learning, and cultivate a collaborative, innovation-first work environment.

Stakeholder Communication:
Present key insights, trends, and recommendations to executive leadership and stakeholders. Ensure that data is communicated in a clear, impactful manner to support company-wide initiatives and investment decisions.

Tool & Technology Optimization:
Evaluate and implement the latest analytics tools, platforms, and technologies. Ensure that systems are optimized for performance, scalability, and security to meet evolving business needs.

Performance Monitoring & KPI Management:
Define and track key performance indicators (KPIs) across departments. Use data to measure success, identify improvement areas, and refine operational tactics.

Compliance & Risk Mitigation:
Ensure adherence to data privacy laws (e.g., GDPR, CCPA) and internal data security policies. Identify data risks proactively and implement control measures to safeguard sensitive business and customer information.

What the Client is Looking for in You

As the Data Analytics Executive based in Los Angeles, CA, the client is seeking a forward-thinking leader with a proven ability to turn data into strategic advantage. You should be a results-oriented professional who thrives in a fast-paced environment and possesses both technical expertise and business acumen to drive impactful, data-informed decisions.

Proven Expertise in Data Analytics and Business Intelligence

The ideal candidate will bring deep experience in data analytics, statistical modeling, and business intelligence. A successful track record in designing and executing data strategies, building analytics infrastructure, and delivering measurable business outcomes is essential. Prior experience leading analytics functions in complex, data-rich environments is highly valued.

Strategic Vision with a Problem-Solving Mindset

You should be a strategic thinker who can connect data insights to broader business goals. The client values professionals who can identify growth opportunities, streamline operations, and guide executive decision-making through predictive analytics, trend forecasting, and risk assessment. Your ability to anticipate business needs and proactively solve problems will set you apart.

Technical Mastery Paired with Business Acumen

The role requires a strong command of analytics tools and technologies such as SQL, Python, R, Tableau, Power BI, and cloud-based platforms (e.g., AWS, GCP, or Azure). Just as important is your ability to translate technical findings into business language that resonates with non-technical stakeholders and drives company-wide adoption.

Proven Leadership and Team Development Skills

The client seeks a leader who can build, inspire, and scale high-performing analytics teams. You should bring a track record of developing talent, fostering collaboration, and encouraging continuous learning. Experience in managing cross-functional initiatives and aligning teams around shared goals is a key asset.

Data-Driven Decision Making and KPIs Management

A deep understanding of how to define, track, and interpret key performance indicators (KPIs) is crucial. The client is looking for someone who can move beyond reporting to provide strategic recommendations that drive revenue, improve customer retention, and optimize operations.

Excellent Communication and Stakeholder Management

Strong interpersonal skills and the ability to present complex data insights to senior leadership, board members, and non-technical teams are essential. The client values professionals who bring clarity, influence, and collaboration to the table through data storytelling and strategic reporting.

Commitment to Data Ethics, Privacy, and Compliance

As a senior data leader, you will be expected to uphold the highest standards of data privacy, governance, and compliance. The client seeks a candidate with a deep understanding of regulatory frameworks such as GDPR, CCPA, and HIPAA, ensuring that all analytics initiatives adhere to legal and ethical standards.

FAQs About the Role – Data Analytics Executive – Los Angeles, CA

1. What are the key responsibilities of the Data Analytics Executive in this role?
As the Data Analytics Executive, you will lead the organization’s data and analytics strategy, oversee business intelligence operations, and ensure the integrity and accessibility of data across all departments. You will be responsible for managing data infrastructure, developing performance dashboards, leading advanced analytics projects, and delivering insights that drive business growth. The role also involves cross-functional collaboration, team leadership, and ensuring data governance and compliance.

2. What qualifications and experience are required for this position?
The ideal candidate should have significant experience in data analytics, business intelligence, and data management. A strong background in statistical modeling, data visualization tools (such as Tableau, Power BI), and programming languages (such as SQL, Python, R) is essential. Experience working in a leadership or executive analytics role, especially in a fast-paced and data-driven organization, is highly preferred. A bachelor’s degree in Data Science, Computer Science, Statistics, or a related field is required; a master’s degree is a plus.

3. What leadership qualities are essential for this role?
The client is looking for a strategic, results-oriented leader who can manage and scale a high-performing analytics team. You should demonstrate strong communication skills, analytical thinking, and the ability to work cross-functionally with both technical and non-technical stakeholders. Experience in mentoring, decision-making, and fostering a data-first culture will be highly valued.

4. What challenges can I expect in this role?
You can expect challenges such as integrating data from multiple sources, ensuring data quality and security, and aligning analytics initiatives with evolving business goals. Managing changing stakeholder expectations, keeping up with technological advancements, and navigating regulatory compliance (like GDPR or CCPA) are also part of the role’s demands.

5. What impact is expected from the Data Analytics Executive?
You are expected to be a strategic partner in driving business transformation through data. Your work will influence product development, customer experience, operational efficiency, and revenue strategies. By delivering actionable insights and predictive models, you’ll directly contribute to better decision-making and long-term business success.

6. What is the company’s culture and work environment like?
The company promotes a collaborative, innovation-focused, and data-driven work environment. They value transparency, continuous learning, and teamwork. As a Data Analytics Executive, you will be encouraged to foster a culture of curiosity, experimentation, and performance excellence within the analytics function and across departments.

What Remuneration Can You Expect from This Job?

As the Data Analytics Executive in Los Angeles, CA, you can expect a competitive and comprehensive compensation package that reflects your expertise in data strategy, analytics leadership, and business impact. Compensation components typically include:

1. Base Salary

The base salary for a Data Analytics Executive varies depending on the size and scope of the organization, industry sector, and candidate experience. For a mid-to-large enterprise, annual base salaries generally range from $130,000 to $200,000, with some high-growth or tech-forward companies offering higher compensation.

2. Performance-Based Bonuses

Most compensation packages include annual performance bonuses based on predefined key metrics such as operational efficiency, business growth driven by data initiatives, and return on analytics investment. Performance bonuses typically range from 15% to 40% of the base salary, with potential for higher rewards based on individual and organizational performance.

3. Equity & Stock Options

In many companies—especially tech, SaaS, or growth-stage startups—Data Analytics Executives may be eligible for equity compensation. This may include stock options, restricted stock units (RSUs), or performance shares to reward long-term contributions and align leadership with the company’s valuation and success.

4. Long-Term Incentives & Profit-Sharing

Select organizations offer long-term incentive plans (LTIPs) or profit-sharing structures. These plans reward consistent performance over multiple fiscal years and are designed to encourage sustainable growth and team leadership.

5. Executive Benefits & Perks

The role typically comes with a range of executive benefits, which may include:

Comprehensive health, dental, and vision insurance
401(k) plans with company match or executive retirement plans
Paid time off (PTO), parental leave, and flexible work arrangements
Wellness and mental health support programs
Annual learning/development budget or continuing education support
Commuter allowances or parking reimbursement (especially in L.A.)

6. Signing Bonuses & Relocation Assistance

For senior-level or in-demand candidates, companies may offer signing bonuses ranging from $10,000 to $50,000. If relocation is necessary, relocation packages may include moving assistance, housing stipends, or temporary accommodation costs.

Total Compensation Potential

Taking into account base salary, bonuses, equity, and benefits, total compensation for a Data Analytics Executive in a mid-to-large organization can range from $160,000 to $300,000+ annually. At high-growth or publicly traded companies, especially those leveraging data as a core asset, the package could be even more competitive.

How to Apply

If you are an analytical and results-driven professional with a passion for turning data into business value, we invite you to apply for the Data Analytics Executive role based in Los Angeles, CA. This is a unique opportunity to shape data strategy, lead advanced analytics initiatives, and drive innovation in a dynamic, data-centric environment.

To apply, please submit your updated resume and a cover letter that highlights your experience in data analytics, business intelligence, team leadership, and strategic decision-making. Be sure to include specific examples of how you have used data to drive business outcomes, improve operational efficiency, or develop customer-centric insights.

This high-impact leadership role offers a platform to influence company-wide decisions, build a data-first culture, and lead a talented analytics team. Apply today to take the next step in your career as a Data Analytics Executive in one of the most innovative cities in the world – Los Angeles, CA.

For more information or to explore similar opportunities, visit our AI & Data Science Executive Recruiters Page.

Job Category: AI & Data Science

Job Type: Full Time

Job Location: Los Angeles

Data Analytics Executive job in Los Angeles, CA