Senior Analytics Engineer

Symend (América, Argentina) Publicado hace 42 días
Full-time
Are you looking for an opportunity to apply your skills and talent to spark both innovation and positive social change? Symend is a rapidly growing fintech company that combines behavioral science with advanced AI, data, and analytics capabilities to enable companies to engage at-risk customers more effectively and humanely. By creating better ways to approach individuals with empathy and dignity at the time when they need it most, Symend’s employees are helping to transform the science of customer engagement and improve lives in North America and around the world.

The Opportunity

The Senior Analytics Engineer will play a crucial role in transforming data into actionable insights for our organization. You will be responsible for developing and maintaining data models, data pipelines, optimizing data architecture, and implementing data models to support our analytics initiatives.

What You'll Do

  • Transform raw data into structured datasets by designing and implementing data models that align with business requirements.
  • Apply various data transformations such as cleaning, aggregating, and joining data to ensure accuracy and relevance for specific analytical tasks.
  • Design and implement optimized data models that drive significant improvements in query performance, data accuracy, and storage efficiency.
  • Maintain comprehensive data documentation including data features, definitions, and descriptions at each stage of the data lifecycle to facilitate understanding and consistency.
  • Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
  • Define and enforce metrics, standards, and rules for data quality management to guarantee the accuracy, completeness, and reliability of the data.
  • Implement software engineering best practices like version control, data unit testing, and continuous integration to ensure robust and reliable data management processes.
  • Collaborate closely with team members including data engineers, business analysts, and data scientists to gather and refine data requirements effectively, aligning them with business objectives and strategies.
  • Architect scalable and efficient data structures, leveraging distributed computing technologies and microservices architecture.
  • Provide strategic guidance and mentorship to other team members, fostering a culture of excellence and innovation.

What You'll Need

  • 7+ years of data modeling and ETL experience, specializing in architecting enterprise solutions.
  • Proficiency in SQL for data querying, analysis, and manipulation.
  • Expertise in conceptual, logical, and physical data modeling principles.
  • Demonstrated experience with various analytical data modeling methodologies (e.g., Star, Snowflake, Kimball).
  • Knowledge of data warehousing/ETL principles and relevant technologies.
  • Experience with analytics tools for extracting insights from data.
  • Strong communication skills for stakeholder interaction and teamwork.
  • Architect scalable data structures using distributed computing and microservices.
  • Provide strategic guidance and mentorship to junior team members.
  • Problem-solving ability for addressing complex data challenges.
  • Clear communication of technical concepts to diverse audiences.

Key Competencies and Skills

  • Familiarity with cloud services such as Azure, AWS, or GCP considered an asset
  • Experience with cloud-based data platforms such as Snowflake, DBT, Azure Data Factory
  • Experience with BI platforms like Power BI, Looker, Sisense
  • Knowledge of programming languages like Python or R for data manipulation and analysis
  • Experience in effectively utilizing version control systems like Git for managing code repositories, facilitating collaboration, and tracking changes across projects
  • Understanding of distributed computing, APIs, and microservices architecture
  • Experience with Agile and traditional SDLC delivery methodologies
  • Certification in relevant analytics or engineering fields is a plus.

Education

  • A degree in Computer Science, Computer Engineering or its equivalent



Don’t meet every single requirement? At Symend we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Why Symend?We could tell you all about our competitive compensation, flexible work environment, social Fridays, and awesome team events, but working at Symend is so much more than that!Working at Symend means being part of a driven and collaborative team that values trust, accountability and continuous learning. We work hard, but always make time for fun!You get the chance to do work that matters on a product that truly changes lives!
About Symend
At Symend, we believe that all customers should be treated with empathy and dignity. That’s why we leverage our deep understanding of consumer behavior to create personalized interactions that better engage and empower customers at all points of the customer journey. Our digital engagement platform uses behavioral science, data science and advanced analytics to help our clients build stronger relationships with their customers. Symend: The science of engagement. Symend’s relationship-based approach keeps enterprises attuned to the changing needs of their customers and empowers them to take action. This increases customer satisfaction, lowers operating costs, and helps resolve past due bills before reaching collections. Founded in 2016, Symend’s platform is purpose built to serve complex global enterprises in telecommunications, financial services, utilities and media. Symend is headquartered in Calgary and privately held, with global operations across Canada, the United States and Latin America.
Symend: The science of engagement.
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