Sr Data Engineer / Data Science

As a Senior Data Analyst at the company, you will leverage data, experimentation, analytics, and statistical approaches to effect digital transformation and impact success most predominantly in client experience, product usage, growth, and efficiency initiatives. This position will lead exploratory efforts developing discerning insights and machine learning solutions providing recommendations, forecasts, and metric analysis that informs iterative advancement to optimize results. In addition, a primary responsibility is to design and facilitate A/B tests and other experiments end-to-end. The Senior Data Analyst must collaboratively manage to timeline, effectively progress efforts, illustratively communicate findings, and successfully deliver the data analytics assignments in a meaningful and understandable manner to influence and achieve stated outcomes. Location: 100% Remote. Working hours are based on the US Central or Eastern Time Zone. About us: Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency.

Job Description

Job Functions, Essential Duties and Responsibilities Lead and manage success of analytics efforts Collaborate with stakeholders to ensure request and goals are clear Independently drive data mining process iteratively with business engagement to a meaningful and mutually agreed valuable set of analytic results Understand the business problems, processes, and data necessary to complete the data preparation and diagnostic work required to optimize the insights delivered Maintain charter and milestone level project plans to anticipate resource needs, mitigate risks and deliver on time Work effectively with multi-discipline teams to blend testing and analytics intel with business acumen, product innovation and design thinking to make measurable progress delivering business value Lead Experimentation & Digital Analytics Design or consult on experiments in a manner that ensures sound experimentation methodology and alignment with experiment learning and outcome goals; accountable to sustained culture of iteration & experimentation Design the set-up of quantitative A/B/ multivariant tests to achieve learning goals and recommend optimization actions for the desired action(s). Continually improve testing and results analysis. Contribute to roadmap planning of A/B test plans, event tracking needs and analytics across our digital products setting us up for near term success and future analytics opportunities. Explore and segment data to identify and explain key drivers; design and build models, dashboards, and visualizations to support experiments end to end Partner with cross functional teams to help define success criteria and metrics for new digital products and perform post-implementation analysis Provide regular performance reports, Report key learnings & takeaways Independently extract and integrate data from multiple systems to support analytical efforts, including writing complex SQL queries, analyze in-app customer journeys through Adobe Analytics or Google Analytics. Research and recommend experimentation standard methodologies. Participate in the usage and growth of our digital tools, reporting visualization skills, analytical storytelling, etc. Data Analysis Drive better understanding, decision making and outcomes through advanced analytics, exploration, and research. Design, build and deliver intel and recommendations thru statistics-based approaches and analytic tools and code. Validate that data sources meet requirements of the effort and outcomes Analyze data quality identifying improvements and solutions for data gaps Develop a deep understanding and working knowledge of all company data sources; their purpose, structure, definitions and how they are populated Effectively execute data preparation / curation responsibilities Perform data segmentation, review and reporting of expansive data sources Adhere to and recommend improvements to data governance Build and deliver analytics findings, machine learning updates and results to business in a consumable and efficient manner using BI and other available tools Company Information Security Responsible for protecting, securing, and proper handling of all confidential data held by the company to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to the company or our clients. Supervision N/A Experience, Skills, Knowledge Requirements Bachelor's Degree in Marketing, Business Analytics, Mathematics, Statistics, Data Science, Business, or related course of study required. Related Master's Degree a plus 7+ years of relevant experience in data analysis with advanced SQL programming skills, high level of independence required 5+ years of experience using data to conduct experiments, supporting experimentation and optimization: A|B, split, multivariate analysis with proven track record of setting up A/ B testing and generating insights out of their significance. 5+ years’ experience and proficiency in SQL, Python along with data visualization tools. 3+ years of demonstrable experience with web tools including Adobe Analytics, Google Analytics preferred 3+ years of work experience in (Digital) Marketing alongside working with product leads, product managers, software engineering and user experience design teams Advanced analytics and data mining: the ability to apply appropriate analytical techniques to answer the business questions providing actionable insights. Identify and utilize best math principles and methods to achieve goals tapping into experience, knowledge, and research Database technologies: understanding of data warehousing concepts including displayed experience or knowledge of data mart and data definition practices that support quality and re-use, with the ability to write complex SQL statements to store, retrieve, manipulate, integrate, validate, and summarize data Strong communications skills: Excellent oral and written communication skills including active listening. Asking appropriate questions, clarifying information and writing clear, concise documents. A team orientation: strong interpersonal and collaboration skills, with the ability to network with internal business partners across the organization Solid business relationship experience with the ability to quickly learn about the company products, services, clients and business considerations. Ability to obtain valuable information and insight through dialog with SMEs. Proven ability to independently investigate and interview knowledgeable sources to build expertise becoming a more valued partner and contributor to current and future efforts with stakeholders. Time Management/Prioritization – Ability to manage time and lead others to prioritize work to meet deadlines and deliver most valuable results first. Responsibility to manage tasks as assigned along with resolving priority conflicts and collaborating to ensure common expectation understanding with clients. Initiative/Work Ethic – Drives efforts to completion setting and managing personal goals. Proactively seeks out opportunities to ensure successful outcomes. For virtual remote positions, we require an uninterrupted workspace during business hours and an internet work speed of 25 MBps or better. If you are unsure of your internet speed before applying, please check with your service provider. ​ What We Offer: Flexible working hours and remote work options. Opportunities for professional growth and development. A collaborative and inclusive work environment. The chance to work on impactful projects with a talented team. Excellent compensation in USD. Hardware and software setup. (mandatory) Apply To This Job