As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
OVERVIEW
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 by collaborating with cross-functional teams to gather and/or clarify reporting requirements, being responsible for data products that support their OKRs, and empowering the teams to improve business outcomes with data.
\n- 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 with specific stakeholders/clients needs.
- 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.
- Proactively identify opportunities to leverage advanced analytical techniques to drive improved outcomes.
- Maintain, update and own a backlog/road map of multiple workstreams/projects; and report regularly on progress and blockers.
- 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.
- Contribute to data operations engineering activities, e.g. ETL configurations and builds for complex, high-value datasets relevant to analytical activities and/or business priorities.
- 2+ years as a technical business analyst, regularly engaging with stakeholders to elicit and track business requirements for information systems; and translating those into technical requirements.
- Have extensive experience generating data visual reports used in key business decision making processes
- Have experience in team management and leadership.
- Ability to pivot to urgent priorities and develop solutions that fit specific scenarios in terms of timing, audience and impact.
- Strong analytical and problem-solving skills, including working familiarity with statistics and statistical concepts.
- Experience in client-facing communication and collaboration.
- Excellent written and oral skills to communicate requirements, results, and analyses of complex problems to stakeholders.
- Proactively identify opportunities to leverage advanced analytical techniques to drive improved outcomes.
- Experience in devising, proposing, and conducting A/B testing and other experimental designs to validate business hypotheses and strategies.
- Demonstrated experience in engaging in text analytics, anomaly detection, and deep learning projects as relevant to business needs.
- Develop an understanding of the business, its priorities, and how the wealth of available data connects to those priorities.
- Design and implement predictive models to forecast business metrics, such as revenue, demand, capacity & outputs, on-time delivery, customer churn, and so forth.
- Work closely with the Data Operations Engineering team to ensure data availability, quality, and accessibility.
- 3+ years proven experience in predictive modeling, and statistical analysis in an applied business context leading to measurable business outcomes.
- Robust familiarity with data visualization tools, especially Microsoft PowerBI.
- Power Automate, SQL.
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.