ATLAS INITIATIVE CIC

ATLAS INITIATIVE CIC is seeking a versatile professional with deep expertise in both the WIX platform and administrative support. The ideal candidate will possess a strong blend of technical web design skills and organizational excellence, capable of building engaging WIX websites while efficiently managing daily administrative operations. This dual-role opportunity is perfect for someone who thrives in dynamic environments, values precision, and enjoys working at the intersection of digital tools and business coordination.

Responsibilities:

1. Design and maintain engaging, user-friendly websites on the Wix platform.
2. Implement custom Wix functionalities and troubleshoot site issues as needed

Requirements:

1. Proven experience with Wix website creation and customization (minimum 1 year).
2. Strong understanding of UI/UX best practices.
3. Design engaging Wix websites.
4. Implement custom functionalities.
5. Troubleshoot technical issues.
   
    

Would be a plus:

1. Create short-form videos (3–5 minutes) for content marketing or internal communication.
2. Creation of Visualisations of various types using JSON file
3. High proficiency in Google Workspace (Docs, Sheets, Slides, Gmail, Drive).
4. Strong organizational and time management skills with the ability to multitask.
5. Experience in short video content creation.
6. Excellent written and verbal communication skills in English.
7. Ability to work collaboratively across departments.
8. High level of discretion and trustworthiness with confidential information.
9. Adaptability and resilience in fast-paced, dynamic environments.
10. Positive, proactive attitude and problem-solving mindset.

We are seeking bold, bright and ambitious  and experienced data visualziation specialist extremely passionate about Big Data Design, have experience visualizing extremely complex, multidimensional datasets and is eager to be working at the forefront of innovations in sophisticated data design.

The ideal candidate will have extensive experience in transforming complex datasets into visually compelling, clear, and actionable insights. As a Data Visualization Specialist, you will collaborate with various departments to create impactful data stories that drive decision-making and enhance business strategies. You will be responsible for designing, building, and optimizing dashboards and visual reports, ensuring that they are both aesthetically pleasing and highly functional.

Requirements:

1. Lead the design and development of advanced data visualizations, dashboards, and reports that effectively communicate complex data insights to stakeholders.
2. Translate business requirements into intuitive and insightful visual representations, ensuring that data stories are accessible to both technical and non-technical audiences.
3. Collaborate with data analysts, data scientists, and business stakeholders to gather and understand data requirements, ensuring that visualizations align with business objectives.
4. Maintain and optimize existing dashboards and visualizations for performance, usability, and scalability.
5. Develop and enforce data visualization standards and best practices within the organization
6. Stay up-to-date with the latest trends and best practices in data visualization, ensuring that the company’s visualizations are cutting-edge and impactful.
7. Ensure all visualizations and dashboards comply with data governance and privacy standards.
8. Provide guidance and mentorship to junior visualization specialists and analysts, fostering a culture of creativity and excellence.
9. Excellent organizational and time management skills, with the ability to prioritise tasks effectively.
10. Minimum of 2 years as a Python Developer or Data Scientist;
    Knowledge of pandas, libraries for visualizing, experience with API, DataBox, Google Sheets, and Google Scripts (will be a plus);
11. Experience in the area of visualizations and Big Data;
12. Ability to understand business requirements and translate them into technical requirements starting from architecture level and technological stack proposal;
13. Ability to go deep into technical details keeping in mind the whole project scope and architecture;
14. Experience in collaboration with cross-functional teams to design, develop, and implement new features;
15. Very good written and verbal communication skills in English;
16. Familiarity with Azure;

Responsibilities:

1. Data analysis: Collect, cleanse, and analyze large amounts of data to identify key findings and patterns. Prepare data for visualization.

2. Creating visualizations: Developing data visualizations to help users better understand information. This can include creating charts, graphs, diagrams, maps, and even three-dimensional data models. Testing of the graphs (visual elements) we have developed.

3. Interactive dashboards: Develop interactive dashboards that allow users to explore data independently and get the information they need. For example, using DataBox (or analogs), developing your own dashboards on Flask, FastAPI.

4. Performance optimization: Improving the performance of visualizations to work efficiently with large data sets.

5. Collaboration: Working closely with data analysts, data engineers, and customers to meet their data visualization needs.

6. Training and feedback: Training colleagues and users on how to work with data visualizations and taking their feedback into account to continuously improve visual solutions.

7. Keeping up with trends: Keeping up to date with the latest trends in data visualization and implementing them in your work.

8.Knowledge in using the WIX platform for website creation.

Would be a plus:

1. Understanding of the analytics and statistics;

2. A knack for benchmarking page performance and implementing optimization; 

3. Experience in pixel-perfect and trendy visuals; 

Overview: Join Deep Knowledge Group as a Junior Business Intelligence Analyst, the most junior position within our team but one with unlimited potential for growth and skill development. This role offers a unique opportunity to work on ultra-sophisticated, benevolent projects with significant social impact. During your time at Deep Knowledge Group, you will acquire skills beyond your imagination and experience one of the most exciting periods of your professional life.

Key Responsibilities:

• Data Collection and Analysis:
  • Assist in gathering and analyzing data from various sources to support business intelligence projects.
  • Interpret data and generate reports to provide actionable insights for decision-makers.
  • Maintain and update databases and data systems.
• Report Preparation:
  • Prepare and present reports, dashboards, and visualizations to communicate findings effectively.
  • Support the creation of detailed business intelligence reports for different stakeholders.
• Support Senior Analysts:
  • Work under the guidance of senior analysts to develop your analytical skills and business acumen.
  • Assist in larger projects by performing specific research tasks and data analysis.
• Data Quality Assurance:
  • Ensure the accuracy and integrity of data used for analysis.
  • Identify and rectify data discrepancies and issues.
• Continuous Learning:
  • Stay updated with the latest business intelligence tools, technologies, and best practices.
  • Participate in training and development programs to enhance your skills.

Qualifications:

• Bachelor’s degree in business, data science, statistics, computer science, or a related field.
• Basic understanding of data analysis and business intelligence concepts.
• Proficiency in Excel and familiarity with business intelligence tools (e.g., Tableau, Power BI, SQL) is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Eagerness to learn and develop new skills.

Description: Deep Knowledge Group, a data-driven investment fund focused on young, cutting-edge technology companies, is looking for talented data science  analysts with desire to work in an international environment, solve challenges and find creative solutions.

Responsibilities: 

1. Conduct research to monitor and analyse markets within specific industries of high-tech economic sectors.
2. Analyse large data sets and statistical information to identify trends, patterns and perspectives to inform decision-making.
3. Create basic models to forecast market trends, opportunities and identify potential risks.
4. Prepare presentations, decks, business plans, market researches, industry analysis, parse and clean data. 
5. Collaborate with cross-functional teams to develop and implement strategies based on research data.
6. Monitor and evaluate the effectiveness of implemented strategies, prepare reports and make recommendations for adjustments as needed.
7. Conduct competitor research within specific industries and analyse market’s indicators to provide insights into developing competitive strategies.
8. Use various AI tools to support analysis processes.
9. Perform SWOT analysis of competitive companies.

Requirements:

1. OSINT, Bellingcat knowledges
2. Proficiency in English (B2 level or higher), both verbal and written. This is necessary for effective coordination between teams and preparation of reports.
3. A willingness to learn and master new technologies and methods.
4. Knowledge of corporate intelligence, quantitative finance, econometrics, or business analytics is a big plus.
5. Ability to work proficiently with the entire set of Google Docs including tables, presentations, and documents.

Responsibilities: 

1. Lead the end-to-end development of data science projects, from data exploration and preprocessing to model development, deployment, and monitoring.
2. Develop and implement advanced machine learning models and statistical algorithms to solve business problems and improve decision-making.
3. Perform exploratory data analysis to identify trends, patterns, and opportunities within large datasets.
4. Collaborate with stakeholders to understand business objectives and translate them into data-driven solutions.
5. Mentor and guide junior data scientists and data analysts, fostering a culture of continuous learning and innovation.
6. Developing processes and tools to cross-validate data.
7. Database management (create automated tools for data structuring, including data cleansing and validation)
8. Development of algorithms for natural language processing
9. Testing and improving existing algorithms
10. Developing custom data models and forecasting algorithms and their validation.
11. Working with advanced data visualization tools, including Chat-GPT Code Interpreter, Power BI, and in-house development tools.
12. Work closely with other teams to monitor the quality of models implementation for commercial use.
13. Documentation and reports preparation for clients and management.
14. Excellent organizational and time management skills, with the ability to prioritize tasks effectively.
15. Implement data preparation and feature engineering pipelines for the models
16. Plan and implement algorithms for predictive modeling.
17. Provide continuous improvement of models in production

Qualifications:

1. Master or higher degree in Physics, Mathematics, Statistics, Quantitative Finance, Computer Science, or another quantitative field.
2. Strong problem-solving skills with an emphasis on research product development.
3. Experience working with and creating data architectures.
4. Experience with a variety of machine learning and deep learning techniques and understanding of their limitations.
5. Advanced knowledge of Python (SciPy, NumPy, Pandas, TensorFlow), and 1 year of experience in advanced NLP algorithms is a huge plus.
6. Good written and verbal English for coordinating across teams and reports preparation.
7. Desire to know more about new technologies and research prospective markets.

Key Responsibilities:

UI/UX Design for Mobile Apps:

• Create user-centered designs for mobile applications that prioritize usability and visual appeal.
• Design intuitive, responsive, and visually engaging user interfaces for iOS and Android apps.

User Research & Testing:

• Conduct user research (surveys, interviews, usability tests) to understand user needs, behaviors, and pain points.
• Participate in user testing and incorporate feedback into design iterations.
• Apply AI-assisted analytics where relevant to speed up insights.

Wireframes & Prototypes:

• Develop wireframes, mockups, and interactive prototypes to visualize and test design concepts before implementation.
• Iterate and refine designs based on user feedback and technical feasibility.
• Leverage generative AI tools to accelerate prototyping and ideation when possible.

Collaboration with Developers & Stakeholders:

• Work closely with mobile developers to ensure smooth implementation of designs.
• Collaborate with product managers, AI experts, and other stakeholders to align design with business goals and user needs.

Design System & Consistency:

• Help create and maintain a consistent design system and design patterns across mobile applications.
• Ensure designs align with platform guidelines (iOS Human Interface Guidelines, Material Design for Android).

Visual Design:

• Create high-fidelity designs using tools like Figma, Sketch, or Adobe XD.
• Focus on visual consistency, typography, iconography, and color schemes.

Continuous Improvement:

• Stay updated on the latest design trends, tools, and technologies.
• Contribute to enhancing the design quality of mobile apps and continuously improve the user experience.
• Experiment with AI-based design accelerators (e.g., Figma plugins, generative tools) to enhance efficiency.
• Contribute to continuous improvement of both design quality and design velocity.

Qualifications:

1. Bachelor’s degree in Graphic Design, Interaction Design, Human-Computer Interaction (HCI), or a related field.
2. Some experience or internships in UI/UX design for mobile apps.
3. Proficiency in design tools like Figma, Sketch, Adobe XD, or similar tools.
4. Strong understanding of mobile design principles, including responsive design and touch interactions.
5. Ability to create wireframes, prototypes, and user flows.
6. Strong communication skills to articulate design ideas and decisions.
7. Team-oriented with the ability to collaborate effectively across cross-functional teams.
8. Attention to detail and a passion for creating outstanding user experiences.

Preferred Skills:

1. Experience designing for both iOS and Android platforms.
2. Experience with neomorphic design will be a plus.
3. Familiarity with user testing methods (A/B testing, usability testing).
4. Basic understanding of mobile development and working closely with developers.
5. Portfolio showcasing mobile app design projects.
6. Familiarity with AI-powered design workflows (e.g., generative design tools, Figma AI, MidJourney, or similar).
7. Ability to work quickly and iteratively, balancing speed and quality in a fast-paced environment.