At Aleph, we design human experiences by asking the right questions. Here, you’d find a curious breed of creative engineers spread across the globe, specializing in craft, strategy, and technology. With a keen ear to the ground, we turn big dreams into user-first digital solutions by design. Through rigorous prototyping, close collaboration, and responsive engineering, we commit to creating a future that leaves our craft, community, and clients better than before we began.
We are looking for an Agile Data Analyst to join our team to support agile transformation of the organization by embracing new ways of working. The successful candidate will be working in a team of Agile Coaches and Data Analysts led by the Agile Practice Lead. You will be responsible for gathering and analyzing data to guide management’s decision making, identifying data trends, and exploring and highlighting improvements for agile teams’ performance. Based on stakeholder needs, this technical role gathering requirements, and designs and implements data related systems which include exploring multiple data sources, building data pipelines, automating processes, analyzing, and breaking down the results and communicating the results in various forms such as metrics / reports / KPIs /dashboards and similar, and providing refinement suggestions based on findings from various data sources.
Key Responsibilities
- Provide technical expertise in data storage structures, data mining, and data cleansing, and perform data profiling and gap analysis, source to target mappings, data issue capturing, resolution and escalation, including identifying scope creep, improving data quality and others.
- Drive complex data analysis to identify, analyze, and predict trends or patterns associated with potential performance/audit/compliance risks, and lead and implement automation in data compilation and report/KPI generation for analysis use in management meetings, including performance and key deliverables of projects. Standardize the reports, KPIs and performance measurement metrics across Programs and Projects
- Create and maintain key data sets and ways of collecting data, use different tools and technologies such as SQL, R, Python, eazyBI, Power BI, Jira, Confluence, and like to conduct timely ad-hoc and scheduled data/report/KPI preparation requests, perform data, transactional and trend analysis from multiple sources, and build visualization dashboard/generate reports for various stakeholders.
- Perform end to end analytic solutions: from understanding business requirements, data discovery and extraction, to model development and evaluation, and collaborate and work closely with stakeholders to identify opportunities for leveraging data to drive business outcomes. Also execute exploratory data analysis to answer business questions and inform business decisions, identify data sources and provisioning of data into enterprise data platforms
- Conduct training to end-users on new reports/KPIs and dashboards, partner with and support users in other internal teams to develop and deliver data science solutions to further value-add in performance/audit reviews. Also ensure compliance with data governance and best practices and standards set forth by bank policies and requirements. Also prepare and maintain documentation for data collection, management, and reporting
- Work with Agile Coaches to guide and improve Ways of Working for agile teams by revamping data collection and leveraging data and generate weekly project reports for the teams to monitor their progress and highlight any inconsistencies, impediments, areas of improvement and similar.
Prerequisites
- 3-5 years of work experience.
- Business / functional knowledge is a plus.
- Must have experience as a data analyst in the banking/finance industry.
- Must have basic knowledge in banking operations.
- At least 2 years of hand-on experience in MS SQL, Jira, Confluence, Qlik Sense, Power BI, eazyBI and relevant data/report-related plugins.
- Excellent command of Excel.
- Fluent in data analysis languages / technologies / tools, such as Python, SQL, SAS, R, SCALA and similar.
- Experience in gathering and documentation of business and technical requirements for data collection, analysis, maintenance, and reporting purposes.
- Proficient in designing, developing, modeling, and documenting data-driven solutions – including capturing / creating / utilizing data architectures, metadata systems, data dictionaries, databases, applications, pipelines, BI Tools, Big Data Platforms, analytical /query, and visualization tools.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Exceptional data visualization and communication skills to present findings and insights to senior management and key stakeholders, including non-technical business users.
- Excellent written / oral communication skills to effectively interact with different stakeholders and external vendors, able to work independently under pressure.
Benefits
- Competitive salary (compensation will be based on experience)
- Medical insurance
- Yearly reward based on performance
- Casual work environment and attire
- A solid team behind you: great people who love what they do
- A fun and a fast paced culture which promotes learning and knowledge sharing
- Opportunities for personal and professional growth offerings from our in-house Learning @ Aleph Academy, Flocket meetups, timely training for skills upgrade, workshops and conferences, and mentor-mentee program
Get in touch
Please visit www.aleph-labs.com or drop us an email at [email protected].
Aleph is an equal opportunity employer and we work in an engaging, collaborative environment, where ideas are shared freely. By uncovering insights and opportunities, we inspire everyone to dream big towards the future solutions.
