OP

Data Analyst

PLANO, TXPosted 17 days ago

Job summary

  • Job post source

    This job is directly from OP

  • Job overview

    The Data Analyst role at OP involves analyzing complex datasets to generate actionable insights that support data-driven decision-making across the company.

  • Responsibilities and impact

    The Data Analyst will aggregate and analyze data, create reports and dashboards, communicate findings to stakeholders, collaborate with multiple teams, improve data quality, and support business performance tracking and continuous improvement projects.

  • Compensation and benefits

    The position offers benefits including 401(k), dental, health, and vision insurance, with salary determined by factors such as location, education, experience, and skills.

  • Experience and skills

    Candidates need 8+ years of data analytics experience, proficiency with visualization tools like Power BI or Tableau, strong problem-solving and communication skills, and familiarity with MS Office; preferred skills include advanced analytics experience, automotive or manufacturing background, cloud environment knowledge, and programming in Python and SQL.

  • Career development

    OP provides access to industry-leading consulting practices, innovative training, and education, supporting growth as a technology leader with a focus on process and methodology.

  • Work environment and culture

    OP values diversity, equality, inclusion, respect, and fosters a collaborative environment with team meetings, technical discussions, and knowledge sharing.

  • Company information

    OP is a technology consulting and solutions company specializing in advisory, managed services, innovative platforms, and staffing across AI, cybersecurity, enterprise architecture, and more.

  • Team overview

    The candidate will join a dynamic team at OP that engages in monthly meetings, team-building, technical discussions, and collaborative content creation.

  • Unique job features

    The role offers opportunities to work with advanced data visualization tools, participate in cross-functional teams, and contribute to continuous improvement and data quality initiatives.

Company overview

OP, also known as Ocean Pacific, is a renowned lifestyle brand that primarily focuses on surf-inspired apparel and accessories. Established in the early 1970s, OP gained popularity by capturing the essence of California's surf culture and translating it into fashion. The company generates revenue by designing and selling a wide range of clothing, swimwear, and accessories that appeal to both surfers and those drawn to the laid-back beach lifestyle. OP's history is marked by its pioneering role in bringing surf style to mainstream fashion, making it a staple in casual wear for several decades.

How to land this job

  • Tailor your resume to emphasize your 8+ years of experience in data analytics, highlighting your expertise with Power BI, Tableau, and advanced Excel skills to demonstrate your ability to create impactful dashboards and reports.

  • Highlight your strong problem-solving skills and your ability to translate complex data insights into clear, actionable business recommendations for both technical and non-technical audiences.

  • Apply through multiple platforms including OP's corporate careers site and LinkedIn to maximize your visibility and ensure your application reaches the right hiring managers.

  • Connect with current Data Analysts or team members in the analytics, IT, or project management divisions at OP on LinkedIn; break the ice by referencing recent OP projects, expressing enthusiasm for their data-driven culture, or asking about their experience with cross-functional collaboration.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'data visualization,' 'Power BI,' 'Tableau,' 'data quality improvement,' 'cross-functional collaboration,' and 'data-driven decision-making' to improve screening success.

  • Use Jennie Johnson's Power Apply feature to automate tailored applications, identify the best application channels, and find relevant LinkedIn contacts, freeing you to focus on preparing for interviews and refining your data analytics skills.

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