Job Opportunities at Impact

Why this role is exciting:

• As a Java Engineer, you will be responsible for delivery and supporting features for Impact systems. This person will be part of an Agile / Scrum team and is expected to mentor squad members.
• An ideal candidate for this role would be a competent Java Engineer with a proven track record of project delivery that has a deep understanding of Elastic Search with experience optimising and performance tuning Elastic clusters.

Responsibilities:

• Review business requirements; design, implement and test solutions; and, perform code reviews.
• Gain and maintain a deep understanding of the business and product domain to deliver effective solutions.
• Provide transparency through daily Scrums, Kanban (or similar).
• Identify, raise and address system vulnerabilities and technology blockers for the squad.
• Optimize code and streamline processes to improve performance and platform stability and reduce overall system load.
• Respond to alerts, review error messages, and fix bugs in a timely manner
• Work in a distributed and agile environment.
• Develop code both independently and while pair programming
• Responsible for continuous improvement of developer productivity.

Does this sound like you?

• BSc in Computer Science or related field
• 5+ years of Java software development experience
• Excellent communication, organizational, and problem solving skills
• Intimate knowledge of Computer Science principles and fundamentals
• Experience with HTML, JavaScript, CSS, AJAX, DOM and frameworks (jQuery, React, Vue.js, etc.)
• Knowledge of distributed systems preferred
• Experience working in the finance domain preferred

Key Knowledge Requirements

• Spring Framework
• Elasticsearch
• Java 7, Java 8
• MySQL
• Git
• Popular testing frameworks (jUnit, TestNG etc.)
• Popular mocking frameworks (JMockit, Mockito etc.)
• JIRA
• Continuous Integration

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Your Role at Impact:

• This role forms part of a growing global Business Applications Team who are responsible for partnering with business teams such as Revenue Operations to ensure Impact has a suite of carefully selected, fit for purpose, well managed, tightly governed and well adopted technology platforms and tools that work together to drive internal productivity.  
• As a Systems Analyst, you will form part of the team responsible for driving the design, implementation, support and maintenance of Impact’s Sales Technology stack , of which Salesforce is the key platform. You will ensure the tech stack is supported,  delivering value, continuously evolving to meet business needs and well integrated to provide a seamless user experience.

What you'll do:

• Work with business teams and Business Analysts to elicit,  translate and document business requirements
• Model and design well‐architected solutions that best leverage our internal core platforms. 
• Configure and implement solutions: out of the box configuration and data migrations
• Produce project artifacts such as user flows, logical models and technical solutions documents
• Develop and execute test plans to ensure quality delivery
• Ability to provide estimates and work breakdown structures for assigned tasks
• Keep abreast of all new product and technical capabilities during new product releases and acquisitions of the various platforms
• Ability to follow best practice guidelines
• Provide 2nd and 3rd line support of existing applications
• Ability to create insightful reports and dashboards that aid business processes and users
• Develop and execute training programs for new or adapted functionality in partnership with the Sales Enablement Team.
• Develop testing programs for new functionality

What You Have:

• 7+ years of progressively responsible experience in a Business Systems role, providing hands-on recommendations for process and systems improvement, while undertaking various configuration projects
• Proven ability in understanding core business functions and challenges as well as being able to ask the right questions to get drive the correct requirements 
• 5+ years of Salesforce Sales/Service Cloud  experience
• 2+ years Salesforce CPQ experience is a great advantage
• Proven ability to configure and optimize integrated business processes across systems
• Previous systems integration experience
• Background with RDBMS technologies and modeling techniques
• 5+ years of experience in software development lifecycle: gathering requirements, designing solutions, testing, documentation, implementation, and support of solutions.
• Ability to perform automated testing and write unit tests
• 1+ years experience using agile software delivery methodologies and tools such as Scrum, Jira or Agile Accelerator
• Active Salesforce certifications or ability to achieve relevant certifications 
• Technology qualification such as Computer Science or Informations systems degree 
• Knowledge of apex and visualforce an advantage
• Ability and willingness to run agile ceremonies when necessary
• Experience in scoping,planning and managing small projects
• Experience in working with stakeholders to prioritize work

What Key Attributes You Need

• Excellent written and oral communications skills
• Highly analytical
• Self-motivated
• Ability to articulate process changes and improvements up and down the organization
• Collaborative team player 
• Ability to work on tasks independently
• Able think creatively
• Willingness to support multiple business processes
• Intellectual curiosity and a desire to be challenged
• Flexible and adaptable
• Confidence

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Your Role at Impact

• As an Associate Technical Writer you will play a key role in developing content and programs to drive product and feature adoption and user self-service while helping internal teams understand how customers use our products to successfully drive revenue and improve their marketing ROI. Your audience includes internal support teams and self-service customers, including brands, publishers, creators, affiliate managers, agencies, and tech implementation users.

What You’ll Do

• Work with product managers, developers, support teams, and SMEs to gain an in-depth  understanding of the technical and business aspects of our products and the use cases for their features.
• Author and develop high-quality product content.
• Manage the process of creating, collecting, editing, and curating knowledge across various teams and locations.
• Analyze support ticket drivers, adoption data, product road maps, and presumed impact in order to prioritize projects, facilitate issue resolution and improve customer satisfaction. • Improve the readability, relatability, and digestibility of content by eschewing robotic tech  language in favor of friendly explanations that rely on stories, metaphors, use cases and  examples, conceptual explanations, and clear, practical how-to steps.
• Collaborate with customer-facing teams to create mechanisms that increase the use of the help center and minimize the need for human response.
• Transform content into engaging, interactive, and effective tools for self-service.

What You Have

• 1+ years of product marketing, technical writing, journalism, content writing, instructional design, or training, ideally for SaaS platforms.
• Excellent writing skills with the ability to self-edit and review the writing of others.
• Bachelor's degree with English Major (advantageous)
• Strong technical aptitude. Advantageous: The ability to interpret and understand XML/HTML/CSS code and APIs.
• Ability to do research and quickly understand concepts. You can interview Subject Matter Experts to get answers needed for documentation.
• Perform work under minimal supervision.
• Ability to follow processes and a style guide.
• Experience within a tech organization is ideal.

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Why this role is exciting:

• The associate data analyst is responsible for collecting, analyzing and interpreting large and complex datasets to identify patterns and trends, surfacing facts and assist in developing insights and providing data-driven outputs and recommendations to support business decisions. The ideal candidate will have a keen interest in and some prior experience of data analysis, reporting and forecasting. The associate data analyst needs to be a clear communicator that can confidently interact with technical and non-technical stakeholders.
• The associate data analyst will form part of and actively participate in the data analytics competency, with special focus on building data and reporting outputs as directed by senior team members. The analyst will be a contributing member of the analytics center of excellence (ACoE) and adopt best practices as outlined by ACoE leadership.

Responsibilities:

• Extract and analyze data from various sources including relational databases (mySQL, postgres), big data technologies (BigQuery, Kudu, Impala, SingleStore, Hive), file sources (parquet, ORC, avro, csv, xlsx) and reporting systems (Looker, DOMO)
• Assist with the identification, creation and maintenance of master datasets
• Participate in data stewardship initiatives
• Clean and manipulate data to ensure high quality and integrity of reporting outputs
• Contribute to technical specifications for new data assets (marts, tables, views, cubes)
• Analyze source systems and help identify business logic embedded in the underlying datasets
• Use statistical techniques to identify trends and derive patterns and insights embedded in the data
• Identify and communicate data quality and data validation issues in productionalized datasets
• Create visualizations and dashboards as directed by the squad lead and required by business stakeholders
• Build and maintain dashboards and reports to support business stakeholders
• Perform ad-hoc data analysis to determine suitability of a data source for use in data marts and reporting outputs or to assess key performance indicators (KPIs)
• Communicate findings and recommendations to both technical and non-technical team members in a clear and concise manner

Does this sound like you?

• Bachelor's degree in mathematics, statistics, economics, computer science or a related field
• 2+ years of experience in a data analysis, business intelligence or data engineering role
• Analytical and problem-solving skills
• Python and SQL coding skills
• Demonstrable data analysis and data visualization skills
• Exposure to the Google Cloud Platform (GCP) and integrated technologies preferred
• Exposure to DataBricks, PySpark and BigQuery highly advantageous
• Exposure to data wrangling (data cleaning, manipulation and preparation)
• Exposure to machine learning libraries, tools and protocols (supervised & unsupervised learning) preferred
• Exposure to standard statistical modeling and forecasting methodologies
• Exposure to no-sql data systems (HBase, Redis, Kafka) advantageous
• Exposure to data visualization tools such as Tableau, Power BI, SSRS/SSAS, Looker or QlikView
• Good verbal and written communication skills
• Ability to work independently and collaboratively in a fast-paced, dynamic environment
• Experience working in the marketing technology industry beneficial

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Why this role is exciting: 

• The Senior ETL Engineer is able to manage, process and analyze large datasets using big data technologies such as Spark, SingleStore and BigQuery. The ideal candidate will be responsible for designing and implementing efficient ETL (Extract, Transform, Load) processes to move, transform, and aggregate data from various sources into a centralized data warehouse and purpose-built data marts. The Senior ETL engineer will maintain ETL code and the resulting data assets, ensuring internal data quality and integrity standards are adhered to. 
• The position requires a strong analytical mindset, attention to detail and experience with big data technologies. This is a highly collaborative role as the ETL engineer needs to engage with Subject Matter Experts to implement business logic, understand source data structures and ensure data outputs are accurate, fit-for-purpose, pass quality assurance and provide value to the business.

Responsibilities: 

• Design, develop and maintain ETL processes leveraging big data technologies such as Apache Spark, Google DataFlow, SingleStore, Impala, Kudu and BigQuery
• Write and maintain Pyspark ETL notebooks in Databricks
• Assist Business Intelligence engineers, Data Scientists and Data Analysts with extraction and visualization of produced data sets
• Work with data scientists, data engineers, subject matter experts (SMEs) and other stakeholders to gather requirements and understand the data needs of the organization
• Develop and maintain data models (ERDs), data dictionaries and data flow diagrams
• Document business logic used in ETL processes
• Maintain table and column metadata
• Build data pipelines and ETL workflows to extract data from various sources, transform it to meet business requirements and load it into a centralized data warehouse and/or purpose-build data marts
• Identify and contribute to common utility libraries used by data teams
• Ensure data quality and integrity of ETL processes and troubleshoot any issues that arise
• Monitor ETL performance and reliability and optimize processes for efficiency and scalability
• Optimize total system performance related to ETL workloads - ensure efficient use of compute resources and stability of data systems
• Optimize existing data pipelines for simplicity and efficiency.
• Conduct periodic integrity checks on productionalized data assets
• Safeguard sensitive company data
• Work with QA to extend and enhance programmatic validation of productionalized data assets
• Stay up-to-date with the latest big data technologies and best practices
• Assist in automating manual ETL and data management processes
• Approve & Merge Pull Requests
• Mentor and train junior colleagues
• Actively participate in the hiring process and performance management of team members

Does this sound like you?

• Bachelor's or Master's degree in Computer Science, Data Science or related field
• 6+ years of experience in ETL development and data warehousing using big data technologies such as Apache Spark, Google DataFlow, SingleStore, Impala, Kudu and/or BigQuery
• Proven track record in developing enterprise-level data marts
• Experience with Databricks advantageous
• Experience with Google Cloud Platform and BigQuery advantageous
• Strong knowledge of SQL and relational database management systems
• Python programming skills required
• Strong data modeling and schema design experience
• Experience with workflow management tools such as Airflow, Luigi or Oozie advantageous
• Knowledge of data integration patterns, data load patterns and best practices required
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Good leadership and workload management skills advantageous
• Ability to work in a team environment and collaborate with other stakeholders