Analytics Specialist

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! NOTICE: For EMEA Jobs, please review the Privacy Policy here Job Responsibilities: The Analytics Specialist will contribute to Welocalize’s industry-leading data analytics team, playing a dynamic role that will span some of the organization’s most important, highest-profile analytics initiatives. The "Specialist" is an experienced data analyst who has proven analytical/technical acumen, and can serve as a trusted partner to business teams. This role will be responsible for proactively engaging with stakeholder teams to understand their people, processes, data and objectives/key results (OKRs); being responsible for data products that support their OKRs; and empowering the teams to improve business outcomes with data. If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! NOTICE: For EMEA Jobs, please review the Privacy Policy here Job Responsibilities: The Analytics Specialist will contribute to Welocalize’s industry-leading data analytics team, playing a dynamic role that will span some of the organization’s most important, highest-profile analytics initiatives. The "Specialist" is an experienced data analyst who has proven analytical/technical acumen, and can serve as a trusted partner to business teams. This role will be responsible for proactively engaging with stakeholder teams to understand their people, processes, data and objectives/key results (OKRs); being responsible for data products that support their OKRs; and empowering the teams to improve business outcomes with data.

Main Duties

• Lead discovery processes with stakeholders to thoroughly identify (and document) business requirements and expected outcomes, around data/analytics. Translate business requirements to technical requirements, for data engineers.
• Use analysis techniques to produce reports/data products/analyses.
  • Proactively/creatively generate original insights to improve business outcomes.
  • Deliver outstanding analytic services focused on solving the right problem in the right way, while delighting partners with swift, decisive, and clearly communicated action.
  • Design data products and analytical solutions for ease of use and comprehension; facilitate the deployment, support the utilization, and continuously evolve these data products to ensure business value is added.
  • Develop models to quantify the financial impact of business initiatives and the effects of team recommendations.
• Using a listen-first philosophy, quickly form "trusted advisor" relationships with colleagues, including senior leaders.
• Periodically serve as a data analytics lead/partner for a Welocalize squads/teams at a time, periodically "rotating" to serve different teams.
  • Help teams define the information required to monitor and report performance for assigned objectives and key results (OKRs), and for operational & financial KPIs (key performance indicators).
  • Produce information views necessary to enable the teams to publish and explain OKR financial and operational performance in an accurate and consistent fashion.
  • Train and mentor teams members on which information views to use, how to interpret information and what actions may be necessary to improve performance.
• Maintain, update and own a backlog/road map of multiple workstreams/projects; and report regularly on progress and blockers.
• Provide mentoring and "level 2 support" to other analysts.
• Rely on past experience to provide added value and expertise to employees and team members.
• Maintain a self-starter mindset to proactively anticipate and address partners' needs.

• Education: bachelor’s degree or equivalent work experience, preferably in Computer Science, Math, Statistics or IT/IS. Preferred: post-graduate education (or equivalent experience) in an applicable field.
• R equired experience: 1+ year as a technical business analyst, regularly engaging with stakeholders to elicit and track business requirements for information systems; and translating those into technical requirements. Preferred: 2+ years' experience.
• Required experience: 1+ year experience producing professional data products (e.g., reports and dashboards) using a common BI/data visualization platform such as: Power BI (preferred), Tableau, QlikView or Looker. Preferred: 2+ years' experience.
• Must have a passion to utilize analytics and information to measure and explain business performance.
• Demonstrated leadership competencies, with the ability to collaborate with others and establish working relationships.
• Proactive in driving assigned tasks and long-term initiatives to completion. Proactive in identifying, proposing and taking on new tasks and initiatives.
• Strong analytical and problem resolution skills, including working familiarity with statistics and statistical concepts.
• Excellent written and oral skills necessary to communicate requirements, results and analysis of complex problems; ability to synthesize and articulate the results of complex analyses in plain language for use by a variety of business stakeholders.
• Exceptional attention to detail, and the ability/patience to follow the "plan-do-check-act cycle" repeatedly until high-quality technical solutions are achieved.
• Flexible attitude with the ability to effectively multi-task, undertaking a diverse slate of projects ensuring quality on-time deliverables.
• Preferred: basic knowledge of data science/machine learning, and new/emerging BI technologies
• Preferred: experience performing the above functions for organizations doing business in localization, workforce augmentation, or BPO.
• Preferred: experience working in an Agile development environment

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